On August 20, SEER Robotics officially unveiled three strategic initiatives for embodied intelligence. Centered on three directions—advancing a general-purpose robot brain, building real-world data infrastructure, and co-building an evolution network of one million robots—the initiatives further define the company&#x27;s long-term roadmap for the era of embodied intelligence. By integrating the robot brain, real-world data, and a large-scale robot network, SEER Robotics aims to build a durable, self-sustaining infrastructure for embodied intelligence—one that allows robot capabilities to be replicated, accumulated, and evolved across an ever-wider range of platforms, tasks, and scenarios, and that ultimately forms an embodied intelligence foundation spanning degrees of freedom, configurations, and modalities. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mtfuegpxw04tn9lb4pi.jpg" width="850px" style="width:850px"/></div> Advancing a General-Purpose Robot Brain The fundamental difference between embodied intelligence and conventional AI is that intelligence must ultimately act on the real world through a robot&#x27;s physical body. A model must not only understand what is happening and what needs to be done; it must also determine how to act—and how to act reliably. SEER Robotics believes that a robot brain capable of truly entering the physical world requires a complete system running from cognition through execution to real-time feedback. To this end, the robot brain adopts a three-in-one architecture—Model, Cerebellum, and Nerves—that gives robots a complete intelligence system. <ul><li>The model layer serves as the cognitive center, responsible for perceiving and reasoning: environmental perception, task understanding, and intelligent decision-making.</li><li>The cerebellum layer serves as the execution center, responsible for turning decisions into action: motion planning, trajectory generation, and real-time execution, ensuring that robot movements are accurate, stable, and safe.</li><li>The nerve layer serves as the connectivity center, responsible for linking brain and body: through unified interfaces and a protocol stack compatible with more than 400 core components, it connects sensors, joints, and actuators, sending control commands downward to joints and actuators while returning position, velocity, torque, and sensor status upward in real time to close the full control loop.</li></ul> In this way, robot intelligence is no longer confined within the model; it enters the robot&#x27;s body, carries out tasks in the real world, and adjusts in real time according to the body&#x27;s state. The robot brain has long been a core competency underpinning SEER Robotics&#x27; long-term growth. As the company enters the embodied intelligence era, it will advance the generalization of the robot brain along three directions: continuously upgrading the brain&#x27;s hardware carriers, expanding the modular robotics ecosystem, and stepping up investment in embodied models. <ul><li>At the hardware level, the robot brain must accommodate an increasingly rich variety of robot configurations and computing requirements, progressing step by step from localized control toward whole-body coordinated control.</li><li>At the ecosystem level, SEER Robotics seeks to connect modules such as robotic arms, joints, dexterous hands, sensors, and actuators, enabling different components to be assembled more quickly into new robot forms.</li><li>At the model level, the company is building sustained capabilities across spatial understanding, task reasoning, motion generation, world modeling, and long-horizon tasks, so that model capabilities can be invoked according to the scenario and task at hand and ultimately delivered into robots through one and the same robot brain.</li></ul> Across embodied intelligent machines ranging from robotic arms and humanoid robots to robot dogs, SEER Robotics aims to progressively realize the following: bodies may differ, yet one brain connects them all; tasks may differ, yet capabilities remain available on call. This also marks a decisive step in the robot brain&#x27;s evolution from traditional control capabilities toward embodied intelligence infrastructure. Building Real-World Data Infrastructure What embodied intelligence truly lacks is not data volume, but high-quality data capable of supporting robots in understanding and learning from the physical world. Unlike data drawn purely from the internet, embodied intelligence data must come simultaneously from real robots, real environments, and real tasks, and it must keep accumulating as robots continue to work. Accordingly, SEER Robotics defines high-quality embodied data along four core dimensions: diversity, authenticity, consistency, and sustainable acquisition. <ul><li>Diversity: sufficiently rich data must be generated across different robots, configurations, tasks, and environments.</li><li>Authenticity: data must come from the real physical world, rather than remaining within simulated environments.</li><li>Consistency: data drawn from different robots and scenarios must rest on unified data structures and time systems before it can genuinely feed model training.</li><li>Sustainable acquisition: above all, such data must be produced continuously alongside the long-term operation of robots.</li></ul> On the basis of this assessment, SEER Robotics further introduces the concept of the complete embodied dataset. For any given real task, data should not merely record what the robot ultimately accomplished; it should preserve, to the greatest extent possible, the surrounding environment, human demonstrations, real-robot operation, and the processes of failure and recovery. Only when the full course of a task is recorded can a model learn not a single isolated action, but a complete, reproducible, and trainable real-world experience. To translate this vision into practice, SEER Robotics has formally established an embodied intelligence data subsidiary—Hangzhou Kaiwu Innovation Embodied Intelligence Technology Co., Ltd.—to advance embodied-data business across the board. This means embodied data is no longer simply a by-product generated naturally as robot products operate; it will become a key foundational capability for SEER Robotics as it builds out its embodied intelligence business. Around this capability, SEER Robotics is building a complete data infrastructure spanning real-robot collection, multi-source ingestion, data governance, model training, simulation-based evaluation, and capability feedback. It is also building a data and agent platform for embodied intelligence, further connecting the end-to-end chain from real robots to model training and on to capability deployment. At the same time, SEER Robotics plans to gradually open its embodied intelligence datasets and in-house evaluation benchmarks starting in the fourth quarter of this year, driving real-world data and robot capability evaluation beyond a scattered, fragmented state toward more systematic infrastructure development. Ultimately, data generated as robots perform real work will enter the training pipeline, produce new model capabilities, and return to the robots through OTA updates: real-world operation → data accumulation → model iteration → capability upgrade → renewed operation. The more robots work, the richer the data they generate; the richer the data, the better models understand the real world; and the more capable the models become, the more numerous and complex the tasks robots can accomplish. In this way, data is no longer the raw material for one-off training; it becomes the core engine that connects robots&#x27; real-world operation with the continuous evolution of intelligence. Co-Building an Evolution Network of One Million Robots The scale and value of data ultimately come from robots that keep operating in the real world. Accordingly, SEER Robotics is launching the &quot;Ladder Program&quot;: by 2030, together with its ecosystem partners, it aims to bring one million embodied intelligent robots into deployment across a wide range of body forms, capable of continuously performing diverse operational tasks in all kinds of real-world scenarios. The company formally announced the program&#x27;s launch and released the first cohort of 20 ecosystem partner companies. One million robots is far more than a volume target. The more industries robots enter, the richer the tasks they perform, and the more diverse their body forms and modes of perception, the more physical-world experience they can accumulate. Once this experience enters the data and model pipeline, it generates new robot capabilities, which in turn drive more robots into real-world scenarios. Thus, large-scale robot deployment is no longer merely a commercial outcome; it becomes the infrastructure on which embodied intelligence continuously evolves. For such a robot network to truly operate, robots must be equipped with cloud connectivity, always-on real-time access, data backflow, and OTA upgrade capabilities, enabling them to continuously collect real-world data and acquire new capabilities throughout long-term operation. This is precisely where the Ladder Program differs from a simple scale-up of robot deployment. Robot bodies, core components, models, data, computing power, and real-world scenarios are distributed among different industry partners. Taking the robot brain as the connecting point, SEER Robotics aims to bring more robots genuinely into the physical world and to enable partners across industries to jointly build this evolution network. The scale of robots determines the breadth of real-world experience; the accumulation of real-world experience in turn determines the speed at which embodied intelligence evolves. This is the true significance of one million robots: what the network connects is not a simple headcount of machines, but a robot evolution network spanning different bodies, tasks, and environments—one capable of continuously generating real-world experience. Three Strategies Converge,Toward an Embodied Intelligence Foundation If embodied intelligence is to be a technology that genuinely enters the physical world, stronger models alone are far from enough. Models must enter robots; robots must enter real scenarios; and real scenarios must continuously feed back into the models. This is why SEER Robotics thinks about the robot brain, real-world data, and a large-scale robot network within one unified strategy. The robot brain brings intelligence into robots; real-world data enables robots to keep evolving; and one million robots give this evolutionary system the real-world scale it needs. Only when the three are genuinely connected does embodied intelligence begin to take shape as an infrastructure that can be continuously replicated and evolved. On this foundation, SEER Robotics will go further to build an embodied intelligence foundation spanning degrees of freedom, configurations, and modalities. <ul><li>Cross-degrees-of-freedom means the ability to work across different joint counts and motion capabilities.</li><li>Cross-configuration means coverage of different body structures, including humanoids, wheeled robots, robotic arms, and robot dogs.</li><li>Cross-modal means the ability to process different perceptual inputs, including vision, force sensing, tactile feedback, and joint states.</li></ul> Ultimately, what different robots share will no longer be merely software interfaces, but a growing body of reusable foundational intelligence capabilities. And once these underlying capabilities are truly in place, the way people interact with embodied intelligence will change as well. In the past, a new robot task usually meant starting data collection, algorithm development, model training, and on-site deployment all over again. In the future, these complex processes can be progressively absorbed into the backend: users need only tell the robot what to accomplish, while the system judges whether existing capabilities are up to the task—and, when they are not, automatically drives the required data collection, training, evaluation, and OTA updates. Truly mature embodied intelligence does not require every user to become a machine learning expert; it gives robots the ability to keep acquiring new capabilities. In this light, what SEER Robotics is building today is not merely a more powerful robot brain, a data platform, or a robot network, but an infrastructure that connects intelligence, robots, and the real world. As increasingly complex capabilities are consolidated behind the system, what users ultimately see will no longer be models, data, or algorithms, but a robot that understands requirements, executes tasks, and keeps gaining new capabilities. Models and data ultimately recede behind the scenes; what remains are capabilities that robots can put to work directly. This is the ultimate goal of SEER Robotics&#x27; embodied intelligence strategy: to remove the barriers to embodied intelligence. And it points onward to the mission to which SEER Robotics has long been committed: Drive a more open, diverse era of intelligence, making AI robots accessible to all.

SEER Robotics Unveils Three Embodied Intelligence Strategies: Building an Embodied Intelligence Foundation Through "Brain + Data + Network"

When a concept is used by everyone, it often loses its precise meaning. The term &quot;robot brain&quot; has become an umbrella phrase used far too loosely. For some, it refers to a large model running on a robot; for others, it means the control software developed in-house by robot manufacturers; still others equate it with nothing more than a high-compute board. Without a clear definition, discussions quickly talk past one another. The &quot;brain&quot; you mean and the &quot;brain&quot; I mean may be entirely different things. At SEER Robotics, we define the &quot;robot brain&quot; with precision: Robot Brain = Model + Cerebellum + Nervous System <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mtfvobkb7p63j9rzvaj.jpeg" width="850px" style="width:850px"/></div> 01 The Three-in-One Architecture of the Robot Brain: Model, Cerebellum, and Nervous System The model makes decisions, the cerebellum executes, and the nervous system connects — only when all three layers are integrated does a complete robot brain emerge. The Model: Determining What to Do and How to Do It The model is responsible for perceptual understanding, task decomposition, and intelligent decision-making. It answers fundamental questions: What does the current scene mean? How should a user instruction be broken down into executable steps? How should the robot adapt when the unexpected occurs? This is the source of a robot&#x27;s &quot;understanding&quot; and currently the most active frontier in embodied AI. The Cerebellum: Precise, Stable, and Safe Motion The cerebellum handles motion planning, trajectory generation, real-time execution, state feedback, and functional safety. It operates as a millisecond-level real-time closed loop — a delay of mere tens of milliseconds can turn precise motion into visible jitter. A robot that understands the task but cannot execute it accurately is just as unproductive as one that moves precisely without understanding what it is doing. The Nervous System: Delivering Commands to Every Component The nervous system is a unified interface and protocol stack that connects sensors, joints, and actuators. SEER Robotics&#x27; nervous layer is already compatible with more than 400 core components. This means one and the same brain can power a wide range of robot bodies — wheeled robots, tracked robots, robotic arms, and composite robots. 02 Why All Three Are Indispensable With the model alone, instructions never reach the joints. With real-time control but no cognitive decision-making, the robot cannot understand the task. And when inference is pushed to the cloud, it cannot meet real-time and safety requirements, nor can it capture complete feedback from physical execution. Perception → decision-making → execution → feedback must form a closed loop within a single system. For a robot to complete a task end to end in the real world, all three layers must work as one. 03 The Robot Brain Is Neither a Domain Controller Nor a Model Equating the robot brain with a domain controller underestimates it — a domain controller is merely an integrated board; it does not grow smarter as deployment volumes increase. Equating the robot brain with a single model narrows its scope — a model only handles the &quot;thinking,&quot; but completing real-world tasks also demands millisecond-level motion control and unified hardware interfaces. If an analogy must be drawn from the automotive industry, our closest counterparts are not domain controllers but third-party autonomous-driving companies — what we deliver are systems and models, not an integrated circuit board. SEER Robotics has ranked first in global robot brain shipments for three consecutive years, holding a 24.8% market share, and this business line has long maintained a gross margin above 80%. What underpins these results is years of accumulated expertise in algorithms, toolchains, and cross-configuration compatibility — not a bill of materials. 04 The Robot Brain: Infrastructure for the Embodied AI Industry The more fragmented the robot bodies, the more valuable the brain — this is the fundamental difference between the robotics and automotive industries. Why is an independent brain supplier particularly important in the robotics industry? The answer lies in a fundamental premise: robot bodies are destined to fragment, while the brain is destined to converge. Even in the automotive industry, where a single model can sell over a million units, independent autonomous-driving companies remain essential. Robotics is far more diverse — wheeled robots, tracked robots, robotic arms, and composite robots — each produced in relatively small volumes. For every manufacturer to develop its own control software would be costly, slow, and ultimately shallow. A standardized brain platform therefore becomes the industry&#x27;s common denominator. As more and more devices gain the ability to move and decide autonomously, a standardized brain platform will become the infrastructure on which the entire industry runs. 05 The Real Moat: The Real-Robot Data Flywheel Real-world operating data flows back continuously from a unified controller foundation under consistent standards — data that is authentic, diverse, coherent, and self-renewing. The core bottleneck of embodied AI lies in the brain, and the core bottleneck of the brain lies in real-robot data. A domain controller does not grow smarter with scale; a robot brain does. Every robot operating in the real world contributes data to the brain, and every data point fed back makes the next robot smarter. Closing Thoughts A path more than a decade in the making, a future now accelerating. SEER Robotics grew out of a robotics algorithm team at Zhejiang University that won the RoboCup World Championship three times. That algorithmic DNA has been embedded in the company since day one — and it has always operated in the physical world. From algorithms to controllers, from brain platforms to data models, every step has been the entry ticket to the next stage. When we speak of the &quot;robot brain&quot; today, we are speaking not merely of a product, but of a path forged over more than a decade. While everyone debates when embodied AI will finally arrive, the question that truly matters is this: Whose brain is being used by more and more robots?

SEER Insight | Demystifying the "Robot Brain": Model + Cerebellum + Nervous System

Today, the core determinant of whether a wheel-based humanoid robot can enter real-world scenarios remains its upper-body capabilities—such as large-model generalization, long-horizon task planning, complex motion control, visual-tactile perception, and dual-arm coordination. These challenges are already highly complex. For development teams, the most important role of the mobile base is therefore not to introduce additional technical burden, but to provide a highly stable, reliable, and ready-to-use standardized platform, allowing 100% of engineering effort to be focused on core algorithms and upper-body capabilities. However, in practice, many wheel-based humanoid robot projects encounter their first bottleneck during real-world validation: the base. To achieve sufficient stability, teams often choose oversized, heavy industrial mobile platforms. While larger bases do improve stability in the short term, they introduce a series of downstream constraints:<ul><li> Oversized platforms cannot enter dense standardized production aisles </li><li> Insufficient turning radius prevents agile maneuvering in narrow spaces </li><li> Structural and battery layout compromises upper-body design flexibility </li><li> Production environments must be modified at high cost, significantly extending deployment cycles </li></ul> As a result, before upper-body intelligence is fully realized, the base itself becomes a limiting factor—an undesirable state for humanoid robot development. Based on extensive experience in industrial robotics deployment, SEER Robotics has introduced C1-D, a dedicated base designed for embodied intelligence wheel-based humanoid robots. Rather than blindly increasing size to achieve stability, the key lies in balancing stability, mobility, and safety within a constrained footprint. C1-D maintains industrial-grade stability while reducing overall size by 15%, offering robotics teams a more flexible mobile foundation. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhgefkkgng6lamdui9.jpg" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="f0fw88" data-start="2035" data-end="2116"> 01 | 15% Reduction in Size: Enabling Embodied Intelligence in Dense Workspaces</h2> For embodied intelligence robots, real value comes from deployment in factories, warehouses, logistics centers, and other real operational environments. A shared characteristic of these environments is limited space. Whether in production line aisles, storage zones, or tightly arranged workstation areas, real-world conditions are far more complex and constrained than laboratory environments. If the base is too large, even strong upper-body capability cannot be effectively utilized because the robot cannot physically enter the workspace. During the development of C1-D, SEER Robotics systematically optimized the structure of control, perception, actuation, and energy modules:<ul><li> Compact footprint of 650 × 650 mm: overall size reduced by 15%, enabling access to ultra-narrow aisles as tight as 800 mm in industries such as 3C electronics, semiconductors, and automotive manufacturing </li><li> Ultra-small turning radius of 820 mm: supports in-place rotation and agile directional adjustment </li><li> Industrial-grade payload capacity of 150 kg: maintains strong load-bearing capability despite significant size reduction </li></ul> When the base is no longer a spatial constraint, embodied intelligence robots can truly adapt to existing production environments, enabling seamless “no-infrastructure-modification” deployment. <hr/><h2 data-section-id="1won6if" data-start="3441" data-end="3525"> 02 | Heavy Load and Low Center of Gravity: Redefining Stability for Compact Bases</h2> In robot development, reducing size often raises concerns about stability. As wheelbase and track width decrease, the support area becomes smaller. At the same time, wheel-based humanoid robots typically have a higher center of gravity. During acceleration, deceleration, emergency braking, or large-amplitude arm movements, noticeable pitching (commonly referred to as “head-nodding”) or even tipping risks may occur. For robots equipped with robotic arms, dexterous hands, and high-value sensors, such instability not only reduces operational precision but also increases system risk.Instead of increasing size, SEER Robotics addresses this challenge through a system-level approach combining gravity-matrix optimization, dynamic control algorithms, and hardware design:<ul><li> Enhanced electromagnetic braking design: enables millisecond-level response during emergency stops or sudden conditions, delivering balanced and powerful braking force, with optional dual-brake configuration </li><li> Low center-of-gravity gravity matrix architecture: modular internal component layout lowers the overall center of gravity, providing a stable foundation for dual arms and primary control systems while ensuring safe payload distribution during high-load or wide-range operations </li></ul> Stability is no longer determined by size, but by system-level engineering design. <hr/><h2 data-section-id="8dtpi" data-start="4888" data-end="4901"> Conclusion</h2> Through a more compact form factor, stronger load performance, and improved motion stability, SEER Robotics C1-D provides embodied intelligence robotics developers with a new approach:no compromise on spatial adaptability, and no compromise on stability—even under high center-of-gravity conditions.

Why Wheel-Based Humanoid Robot Bases Are Shifting from “Big and Stable” to “Small and Powerful”

In addition to space utilization challenges in high-density warehousing, overseas factories also face practical difficulties during automation deployment, including non-standard load compatibility and elevated safety risks in human–robot mixed operations. Only by achieving both flexible adaptability and operational safety can robots fully realize their value in industrial automation. To address these challenges, SEER Robotics has developed a comprehensive solution covering complex load handling and safe operation scenarios, enabling robots to operate in factory environments with greater flexibility, reliability, and safety. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhg69yswwhmp6c9b1m.png" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="1wrxp7t" data-start="753" data-end="824"> 01 | Non-Standard Compatibility: AI-Driven Adaptive Load Recognition</h2> In ideal conditions, loads are standardized and uniform. However, in real-world factories and logistics centers, incoming supply chain loads are often highly irregular—worn edges, partial damage, non-standard dimensions, or even arbitrarily placed in cluttered environments. In practice, enterprises cannot realistically upgrade or standardize all upstream logistics assets solely for automation adoption. In the past, robots lacking flexible perception capabilities often struggled with damaged or irregular loads, leading to misidentification, failed insertion, or unstable load center-of-gravity during handling. Today, customers no longer need to pay for environmental standardization. SEER Robotics empowers robots with AI-driven adaptive perception and gripping technologies, enabling them with both “eyes that understand the physical world” and a “decision-making brain.” By combining 3D vision sensors with deep learning-based neural networks, the system can instantly analyze load integrity, spatial geometry, and precise positioning upon perception. Even when loads are damaged, deformed, or misaligned, A I algorithms dynamically compute optimal fork insertion trajectories and adjust fork angles in real time, achieving robust adaptive handling. True intelligence does not reject non-standard environments—it adapts to them. <hr/><h2 data-section-id="1rsbabd" data-start="2172" data-end="2246"> 02 | Safe Coexistence: Comprehensive Protection in Dynamic Environments</h2> After addressing precision and load adaptability, the next critical challenge in overseas deployment is safety in human–robot collaboration environments. Industrial sites abroad place extremely high emphasis on dynamic safety. Moving personnel, randomly parked carts, and temporarily placed obstacles all introduce constant uncertainty into robot navigation paths. Safety is a non-negotiable baseline. SEER Robotics builds a multi-layer safety system powered by multi-sensor fusion and advanced algorithms within the M4 intelligent robot management system.<h3 data-section-id="1jilc6y" data-start="2808" data-end="2862"> From Flat Perception to 3D Spatial Awareness</h3> By introducing 3D vision sensors, the system eliminates blind spots for both overhead structures and low-lying obstacles. Full-space point cloud modeling enables complete environmental awareness, ensuring detection of everything from scattered floor-level trays to elevated rack structures.<h3 data-start="3155" data-end="3158"> Instant Safety Response Mechanism</h3> The robotic control system defines deceleration zones and emergency stop zones based on safety LiDAR. When pedestrians or other robots suddenly enter the path, decisions are made within milliseconds. Immediate hard-stop responses are triggered at close range, maximizing protection for personnel and minimizing inertial risk to goods.<h3 data-start="3540" data-end="3543"> System-Level Collision Avoidance and Traffic Control (M4)</h3> Based on SEER Robotics’ proprietary collision detection and Safe Swap traffic management algorithms, the system precisely handles extreme scenarios such as empty vs. loaded robots, oversized cargo, narrow corridor passage, rotational collision risks, and close-proximity queuing. It enables predictive planning to prevent conflicts before they occur.<h3 data-start="3965" data-end="3968"> Proprietary MAPF Algorithms Eliminating Deadlocks</h3> The M4 system integrates multiple dispatching, path planning, and traffic coordination algorithms. Its proprietary Multi-Agent Path Finding (MAPF) technology enables near-conflict-free path planning, fundamentally eliminating industry-wide deadlock issues. It supports large-scale fleet coordination, including over 100 robots in multi-zone mixed fleets and more than 300 robots in single-type deployments, ensuring both high efficiency and intrinsic operational safety.

How to Ensure Safety in Complex Industrial Environments with Non-Standard Loads and Human–Robot Collaboration

In its global expansion, SEER Robotics remains firmly committed to pragmatic implementation. Facing the most challenging and complex logistics pain points in industrial environments, the company is dedicated to delivering high-value, deployable automation solutions that can truly solve real-world problems for global customers. For North American and Australian markets, safety compliance and local labor protection requirements represent the primary threshold for introducing automation equipment. Non-compliant products not only expose enterprises to legal risks but also fail to integrate into local production environments. Therefore, for SEER Robotics, safety and compliance are not optional add-ons—they are a foundational requirement embedded in the system architecture. Core products under SEER Robotics have obtained both UL and CE certifications. This indicates that the equipment fully complies with the most stringent industry standards across the Americas, Europe, and Australia, covering control systems, electrical safety, and mechanical safety. With internationally recognized compliance credentials, SEER Robotics removes market-entry barriers for overseas partners, ensuring every deployment can be executed with confidence. <hr/><h2 data-section-id="19di6en" data-start="1380" data-end="1431"> 01 | Core Challenges in High-Density Warehousing</h2> Beyond compliance assurance, overseas advanced manufacturing and high-density warehousing scenarios present multiple layers of operational complexity. Rising land costs are driving warehouse systems toward higher, denser, and more compact configurations. Narrower aisles, taller racking systems, and denser storage layouts are becoming standard requirements for global customers. However, improved space utilization directly translates into stricter requirements for robotic mobility, operational precision, and control stability. To address these challenges, SEER Robotics delivers targeted and effective solutions for high-density warehousing environments. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhg177byf808d22d6c.png" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="1kfwzyh" data-start="2100" data-end="2172"> 02 | Narrow Aisle Operation: Efficient Mobility in Constrained Spaces</h2> To maximize storage capacity, enterprises increasingly reduce aisle widths and increase rack density, enabling warehouses to store more goods within limited floor space. For robots, additional safety margins can ensure operational security but reduce overall space utilization. As aisles become narrower, available passage width decreases and tolerance for positioning errors becomes smaller. In multi-robot collaboration scenarios, insufficient positioning accuracy or suboptimal path planning can easily lead to collisions or traffic congestion, significantly impacting operational efficiency. SEER Robotics leverages LiDAR-based SLAM navigation and multi-sensor fusion positioning to enable precise mobility in constrained environments. At the path planning and traffic management level, the M4 intelligent robot management system utilizes multi-agent collaborative planning algorithms to support dynamic global coordination. It continuously detects moving obstacles in real time, automatically generates avoidance paths, and performs multi-robot path optimization and traffic control, effectively resolving congestion in mixed-fleet operations. As a result, even in long narrow aisles, multi-intersection zones, and highly dynamic environments, robots can continuously perceive surroundings, optimize trajectories in real time, and achieve smooth navigation and autonomous obstacle avoidance while maintaining safe operational distances. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhg1d7gycdpv577ie9.jpg" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="rm3trf" data-start="3626" data-end="3691"> 03 | High-Rack Operations: Stable Handling at Elevated Heights</h2> In addition to narrower aisles, warehouse systems are increasingly expanding vertically. Higher rack configurations significantly increase storage capacity but impose stricter requirements on automation systems. Unlike ground-level operations, even minor deviations in high-rack environments are amplified with height, making elevated operations far more demanding in terms of overall robotic performance. Small deviations in load positioning, fork misalignment, or slight instability during lifting can result in failed operations, cargo damage, or safety risks. Therefore, high-level operations require not only navigation capability, but full-system coordination across perception, control, positioning, and handling. SEER Robotics integrates end-effector visual recognition, precision motion control, and error compensation algorithms to enable end-to-end accurate execution—from cargo identification and path planning to fork insertion and lifting operations. Upon reaching the target position, the system performs real-time recognition of pallet and rack alignment and continuously conducts dynamic calibration during operation. This ensures stable fork engagement and precise load handling. Even in high-rack or heavy-load scenarios, the system maintains consistent and reliable performance. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhg1jon4q3zoajtdb.png" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="18f0sri" data-start="5003" data-end="5076"> 04 | Accurate Stacking: Precision Alignment for Multi-Layer Containers</h2> In industrial environments, multi-layer container stacking is one of the most efficient methods for increasing storage density. However, over time, containers may experience slight deformation, positional deviation, or localized wear due to repeated circulation and handling. For robots, these subtle inconsistencies can accumulate during continuous stacking operations. Once misalignment occurs, it can lead to stacking instability, inaccurate placement, or tilted configurations, ultimately affecting overall system reliability. SEER Robotics utilizes 3D vision perception, real-time localization, and precision motion control to accurately detect container position, orientation, and spatial relationships. During stacking operations, the system continuously monitors target states and dynamically adjusts motion trajectories, ensuring precise alignment and stable stacking even when containers are imperfectly positioned. <hr/><h2 data-section-id="8dtpi" data-start="6012" data-end="6025"> Conclusion</h2> From single-layer transportation to multi-layer stacking, what is being tested is not only robot performance, but also the ability to perceive fine-grained details and execute with precision and stability in real-world conditions.

Overcoming Warehouse Space Constraints: SEER Robotics’ Advanced Technologies Address Complex Overseas Industrial Conditions

In recent years, embodied intelligence has continued to gain momentum. Foundation models are evolving, robotics systems are advancing, and concepts such as world models, spatial intelligence, and edge AI are rapidly gaining attention. In many discussions, a seemingly intuitive narrative gradually emerges: adding an AI layer to everything. As a result, “Embodied AI = AI + Everything” has become an easy and widely accepted assumption. However, the larger this statement becomes, the more caution it requires. From SEER Robotics’ perspective, embodied intelligence is not about relabeling every product with AI, nor about forcefully rebuilding every scenario with AI. Its true purpose is to enable AI to enter the physical world—where it can perceive, decide, act, and be accountable for outcomes in real environments. In other words, embodied intelligence is not a conceptual expansion—it is a capability grounded in real-world execution. <hr/><h2 data-section-id="uted1v" data-start="1284" data-end="1334"> 1. Embodied Intelligence Is Not Simple Addition</h2> At a superficial level, “AI + Everything” looks like a simple addition problem. First, add models; then add hardware; then expand into scenarios. This narrative is smooth, intuitive, and easy to spread. But robots in the real world do not work this way. To complete a task, a robot must not only recognize what is in front of it or understand a command. It must also decide what to do next, execute stable motion control, perceive changes during execution, and continuously adjust based on feedback. If any link in this chain breaks, the task fails. Therefore, the core of embodied intelligence is not “how much AI is added,” but whether a complete closed loop has been formed:perceive the environment, understand the task, execute actions, and respond to feedback. Only when these elements are fully connected does AI move beyond text-based responses and become physical action in the real world. This is why embodied intelligence is fundamentally a system capability rather than an interchangeable AI layer. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhfragwbp6xkv609j7.jpg" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="tp3mqi" data-start="2361" data-end="2401"> 2. Scenarios Define the Real Boundary</h2> The appeal of “AI + Everything” lies in the assumption that sufficiently powerful AI can adapt to all scenarios and solve all problems. But embodied intelligence is fundamentally different. The physical world is concrete and uncompromising. Different robot morphologies, sensor configurations, control architectures, and operating environments directly determine system capability. Industrial environments—high temperature, dust, narrow aisles, and dynamic human-machine interaction—are fundamentally different from clean, controlled lab conditions. Model capability is important, but it does not automatically eliminate these differences. In many cases, the real challenge is not “whether AI exists,” but whether the system can operate stably over time in real-world environments, adapt to complexity, and be effectively deployed at customer sites. From this perspective, the true boundary of embodied intelligence is not conceptual—it is scenario-driven. Those who better understand scenarios, control systems, deployment, and real-world data accumulation are closer to the true path of industrial embodied intelligence. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhfth2zylewpugfcl.png" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="15y0z8e" data-start="3539" data-end="3597"> 3. Why SEER Robotics Builds Embodied Intelligent Robots</h2> SEER Robotics does not build embodied intelligent robots to pursue an “AI omnipotence” narrative. The goal is to solve specific, real-world challenges in industrial and logistics environments where traditional mobile robots are no longer sufficient. In many scenarios, mobility alone is not enough. Robots must not only reach a destination, but also understand environmental changes, perform light manipulation, coordinate with equipment, goods, personnel, and systems, and make autonomous decisions in more dynamic tasks. This is where AI becomes essential. However, not everything needs to be reinvented. In highly structured and rule-defined environments, traditional solutions still hold strong value. SEER Robotics focuses on integrating AI capabilities with mature and reliable traditional systems to build complete operational workflows that deliver higher reliability and better cost efficiency. This is SEER Robotics’ definition of embodied intelligence:not making robots look more “general-purpose,” but making them perform tasks more effectively. Ultimately, robotics technology must serve people. Enabling robots to take over repetitive, physically demanding, or hazardous tasks is a core value of embodied intelligence in real-world deployment. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhftnye9zkt4fu1l6l.png" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="1ahvory" data-start="4874" data-end="4918"> 4. The True Focus Returns to Productivity</h2> Today’s embodied intelligence industry is not short of excitement. It is full of concepts, demonstrations, and futuristic imagination. But excitement is not the destination. At its core, industrialization of embodied intelligence is a return to value. What truly matters is not who has the largest concept, nor who builds the most impressive demos—but who can make technology accountable for real outcomes. Customers care about one thing: does it work? Is the robot running reliably? Has it reduced costs? Improved efficiency? Reduced labor burden? And can it continuously deliver value in real environments? These questions are more fundamental—and more difficult—than any conceptual narrative. Over the long term, the real dividing line in embodied intelligence will not appear during hype cycles, but after deployment into real-world scenarios. Those who can deploy robots into industrial, logistics, and manufacturing environments at scale—operating stably, replicating successfully, and continuously improving productivity—will be the ones who endure across cycles. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhfu7bbyyf8nhrtl2.png" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="xazacl" data-start="6005" data-end="6050"> 5. Our Answer Always Starts from the Field</h2> Over time, SEER Robotics has built comprehensive capabilities across robot control systems, multi-robot platforms, mobile robots, embodied intelligent robots, and software system platforms. It has delivered intelligent robotics solutions to over 20 industries and more than 2,100 companies globally, accumulating extensive real-world deployment experience in industrial and logistics environments, along with rare high-quality physical interaction data. The value of this accumulation is not simply “having done many projects.” It provides deep insight into real operational challenges:how tasks are decomposed, how systems are integrated, how robots operate, how exceptions are handled, how data is fed back, and what customers are truly willing to pay for. Therefore, SEER Robotics prioritizes real-world deployment, control systems, platform capabilities, high reliability, and scalability. The deployment of embodied intelligent robots must first answer very practical questions: Which scenario? Which task? What performance, capability, and cost requirements? There are no shortcuts. Embodied intelligence is ultimately a systems engineering discipline that depends on ecosystem support and platform integration. This remains a long-term focus for SEER Robotics. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mqhfukqvw9ags8gn9ec.png" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="hbm1mw" data-start="7335" data-end="7391"> 6. Is Embodied Intelligence Really “AI + Everything”?</h2> SEER Robotics’ answer is clear: No. Embodied intelligence is not a boundaryless universal technology, nor is it a simplistic overlay of AI across all industries. It is the process by which AI transitions from the digital world into the physical world—where perception, decision-making, action, and feedback operate in real environments. SEER Robotics builds embodied intelligent robots with a clear starting point: solving real problems that already exist and require resolution. Concepts will evolve, and hype will fade. What remains are companies that turn technology into outcomes and capabilities into productivity. This is why SEER Robotics is committed to its mission: “Make intelligent robots accessible to all.” For SEER Robotics, this mission is not a single-dimensional statement. It includes making robots easier to develop, integrate, and manufacture; as well as making them easier to deploy, adopt, and operate reliably in real-world tasks. Only by continuously lowering the barriers to manufacturing, deployment, and usage can embodied intelligence truly scale into widespread industrial adoption.

SEER Robotics Insights | The Biggest Pitfall in Embodied AI Is the “AI + Everything” Mindset

In industrial manufacturing, complexity often means higher cost, greater fragility, and lower efficiency. Guided by the engineering philosophy that “the best part is no part,” SEER Robotics eliminates unnecessary mechanical complexity and fragmented assembly structures with the launch of the new AI Delivery Robot P300. Through deep integration between its physical structure and digital intelligence, P300 achieves a highly simplified internal and external architecture, delivering a consumer-grade intelligent delivery experience that is ready out of the box, stable, and reliable for industrial applications. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mpp9iibozvxnkozzqp.jpg" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="ufpkjy" data-start="736" data-end="806"> Core Advantages: Ready Out of the Box, Delivery Starts Instantly</h2> Designed specifically for efficient industrial delivery, P300 offers six core advantages:<h3 data-section-id="1m6yoo7" data-start="899" data-end="946"> 1. Flexible Control Through a Single Screen</h3>An intuitive and user-friendly interface enables operators to quickly master daily operations with ease.<h3 data-section-id="glvdq2" data-start="1054" data-end="1089"> 2. Exclusive 3D SLAM Navigation</h3>Equipped with advanced 3D SLAM navigation technology, P300 accurately adapts to complex industrial environments.<h3 data-section-id="1jyqt48" data-start="1205" data-end="1240"> 3. 360-Degree Safety Protection</h3>Full panoramic sensing capability ensures comprehensive safety during human-robot collaboration.<h3 data-section-id="1idtz99" data-start="1340" data-end="1372"> 4. Deployment Within Minutes</h3>Rapid mapping and configuration dramatically reduce deployment preparation time.<h3 data-section-id="1tkt7i3" data-start="1456" data-end="1488"> 5. 24/7 Continuous Operation</h3>Designed for uninterrupted, high-intensity operation, maximizing manufacturing logistics efficiency.<h3 data-section-id="12du1f5" data-start="1592" data-end="1633"> 6. Multiple Top-Module Configurations</h3>Flexible upper-module configurations support different material types and carrier formats, meeting diverse delivery requirements. <hr/><h2 data-section-id="103hk4j" data-start="1771" data-end="1843"> Physical-Level Stability: 3,000-Ton Integrated Die-Casting Process</h2> To overcome the structural limitations of traditional industrial machinery, P300 adopts advanced automotive-grade manufacturing standards.<h3 data-section-id="d4bzvj" data-start="1985" data-end="2036"> 1. Revolutionary Integrated Die-Casting Chassis</h3>Using a 3,000-ton integrated die-casting process, P300 consolidates dozens of sheet-metal parts, welded brackets, and fragmented chassis structures into a single unified body.<h3 data-section-id="1p7fgh4" data-start="2215" data-end="2256"> 2. Simplified Mechanical Architecture</h3>Complex mechanical assembly processes are transformed into a highly stable structural mechanics framework.<h3 data-section-id="1uadm9y" data-start="2366" data-end="2416"> 3. Enhanced Durability and Reduced Maintenance</h3>The integrated structure minimizes cumulative mechanical errors caused by long-term operation, significantly reducing troubleshooting and maintenance costs while ensuring long-term chassis durability. <hr/><h2 data-section-id="1ne3cwk" data-start="2625" data-end="2689"> Integrated Intelligence: Main-Control-Level Unified Design</h2> P300 extends its minimalist engineering philosophy to its internal control architecture.<h3 data-section-id="4ejbiq" data-start="2781" data-end="2833"> 1. Highly Integrated High-Performance Controller</h3>Powered by SEER Robotics’ high-performance controller, P300 deeply integrates navigation modules, motion control, wide-voltage support, and 4G communication into a unified main-control architecture.<h3 data-section-id="9ku147" data-start="3035" data-end="3085"> 2. Reduced Wiring and Electrical Failure Risks</h3>The integrated design significantly reduces communication cabling and minimizes the electrical failure risks commonly associated with traditional multi-module architectures.<h3 data-section-id="zc9g70" data-start="3262" data-end="3292"> 3. Greater Memory Capacity</h3>Enhanced storage capability ensures stable operation in larger and more complex industrial environments.<h3 data-section-id="1hthcii" data-start="3400" data-end="3452"> 4. Cloud-Based Remote Deployment and Maintenance</h3>Built-in 4G connectivity enables flexible cloud-based remote deployment and maintenance, helping customers build more efficient, stable, and controllable intelligent industrial delivery operations. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mpp9jan446i634u4feh.png" width="850px" style="width:850px"/></div> <hr/><h2 data-section-id="8dtpi" data-start="3658" data-end="3671"> Conclusion</h2>From its precision die-cast exterior structure to its deeply integrated intelligent control system, every integrated design choice in P300 serves one goal: simplifying industrial delivery. Ready out of the box. Delivery starts instantly. The SEER Robotics P300 is redefining the future of industrial logistics through minimalist intelligent engineering. SEER Robotics, All Robots. One Platform. Fully in Your Control.

SEER Robotics Officially Launches the AI Delivery Robot P300: Ready Out of the Box, Delivery Starts Instantly

From June 2 to June 3, 2026, LOGISTICS &amp; AUTOMATION 2026 will be held at Hamburg Messe. SEER Robotics will showcase its advanced robotics solutions. We warmly invite global partners and industry professionals to visit our booth, discover our latest innovations, and explore collaboration opportunities. Exhibition Information at a Glance: 📍 Exhibition Name: LOGISTICS &amp; AUTOMATION 2026 📅 Dates: June 2–3, 2026 🏢 Venue: Hamburg Messe, Germany 🔢 SEER Robotics Booth: Hall B06 · Booth 336 We look forward to meeting you in Hamburg! <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mpuwpla5par66rih3mc.jpg" width="850px" style="width:850px"/></div>

Exhibition Invitation | SEER Robotics Invites You to Meet at LOGISTICS & AUTOMATION 2026 in Hamburg

As artificial intelligence continues to merge deeply with the physical world, Embodied AI is entering a phase of explosive growth. Designed specifically as an evolutionary foundation for humanoid robots, SEER Robotics officially launches its latest product — the Embodied Wheeled Humanoid Robot Base C1-D. More compact, more powerful, and purpose-built for humanoid robotics, C1-D breaks beyond the limitations of traditional industrial mobile bases and opens a new era where everything can become embodied. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mpp6rca5q5c6be14tm.png" width="850px" style="width:850px"/></div> <hr/><h1 data-section-id="1we7r4x" data-start="718" data-end="793">1. Everything Can Be Embodied: High Compatibility and Deep Customization</h1> C1-D is not merely a mobile base — it is a flexible carrier enabling humanoid robots to adapt to diverse real-world applications.<h2 data-section-id="hpkvqz" data-start="926" data-end="947"> Highly Compatible</h2>Purpose-built for humanoid upper-body structures, C1-D seamlessly supports a wide range of humanoid configurations, providing a more natural foundation for physical interaction.<h2 data-section-id="j8m6q5" data-start="1128" data-end="1151"> Deeply Customizable</h2>Featuring a modular architecture with flexible configuration options, C1-D supports rapid development and deployment, helping research institutions and enterprises quickly build customized humanoid robotic systems. <hr/><h1 data-section-id="1nohn9v" data-start="1374" data-end="1452"> 2. Intelligent Robot Brain: Integrated Wheel-and-Waist Control Architecture</h1> C1-D breaks through the traditional boundaries of motion control and introduces an industry-first integrated wheel-and-waist control architecture.<h2 data-section-id="du0lqd" data-start="1602" data-end="1640"> Industry-First Integrated Solution</h2>The system enables highly coordinated motion between chassis mobility and upper-body posture adjustment, significantly improving whole-body movement intelligence.<h2 data-section-id="1shj3p5" data-start="1806" data-end="1836"> Powerful Computing Support</h2>Its intelligent control system delivers real-time decision-making capability while supporting mainstream bus and computing platforms.C1-D supports EtherCAT and CAN FD communication buses and is fully compatible with the NVIDIA Jetson Thor computing module, providing a robust computing foundation for advanced AI algorithms. <hr/><h1 data-section-id="1r0j9pd" data-start="2171" data-end="2226"> 3. Compact Yet Powerful: Maximized Space Utilization</h1>C1-D redefines the traditional perception of bulky industrial mobile bases through an extremely compact design.<h2 data-section-id="424mvb" data-start="2341" data-end="2368"> Ultra-Compact Structure</h2>The chassis measures only 650 mm × 650 mm, with a height of just 225 mm, reducing the overall body footprint by 15%.<h2 data-section-id="1afczwt" data-start="2488" data-end="2519"> Exceptional Maneuverability</h2>With an ultra-tight turning diameter of only 820 mm, C1-D can move effortlessly through narrow aisles, dense workstations, and highly constrained industrial environments. <hr/><h1 data-section-id="1dyqv1k" data-start="2698" data-end="2744"> 4. Precision and Safety at Every Centimeter</h1> Safety is the essential foundation for embodied intelligence deployment. From positioning and perception to braking systems, C1-D delivers comprehensive operational safety.<h2 data-section-id="122be5m" data-start="2920" data-end="2950"> High-Precision Positioning</h2>C1-D achieves positioning accuracy of ±5 mm, ensuring stable and precise upper-body robotic operations.<h2 data-section-id="18lk3na" data-start="3057" data-end="3090"> 360° Environmental Perception</h2>Equipped with dual LiDAR sensors, the platform provides full 360-degree protection and accurate environmental awareness.<h2 data-section-id="2ddham" data-start="3214" data-end="3243"> Instant Emergency Braking</h2>A standard single-brake module enables stable emergency stopping without forward pitching, ensuring safe operation under unexpected conditions. <hr/><h1 data-section-id="95y0ht" data-start="3395" data-end="3433"> 5. Fast Charging and Long Endurance</h1> To support long-duration and high-intensity operation scenarios, C1-D provides efficient power management and charging capability.<h2 data-section-id="1m9226c" data-start="3567" data-end="3590"> Long Operating Time</h2>The system integrates a 48V/40Ah lithium iron phosphate battery, delivering 6–8 hours of comprehensive operating endurance.<h2 data-section-id="14jspdj" data-start="3717" data-end="3735"> Rapid Charging</h2>C1-D supports high-efficiency fast charging, reaching 80% battery capacity within just two hours.<h2 data-section-id="reudtf" data-start="3836" data-end="3859"> Autonomous Charging</h2>Deep integration with the M4 Intelligent Robot Management System enables fully automatic charging and energy management. <hr/><h1 data-section-id="1y7zx4l" data-start="3988" data-end="4046"> 6. Collective Intelligence and Multi-Agent Coordination</h1> In real-world industrial applications, robots rarely operate alone. Combined with the M4 Intelligent Robot Management System, C1-D demonstrates powerful multi-agent collaboration capabilities.<h2 data-section-id="14mo87r" data-start="4242" data-end="4267"> All-in-One Management</h2>The system supports dynamic global task allocation and real-time system monitoring, enabling efficient management of large-scale robot fleets.For example, the platform supports the smooth operation of 28 online robots simultaneously while coordinating 12 active task queues.<h2 data-section-id="1lb3j42" data-start="4547" data-end="4577"> AI Large Model Integration</h2>Through integration with AI large models and multi-agent collaborative planning, robot fleets can operate with highly coordinated efficiency similar to a unified intelligent team. <hr/><h2 data-section-id="8dtpi" data-start="4765" data-end="4778"> Conclusion</h2> More compact. More powerful. More humanoid-ready. The launch of the SEER Robotics C1-D is not merely a hardware upgrade — it is an entry ticket to the Physical AI era. Whether for scientific research or industrial deployment, C1-D will serve as a critical foundation accelerating the evolution of humanoid robotics. SEER Robotics, All Robots. One Platform. Fully in Your Control.

Driving Toward the Physical AI Era: SEER Robotics Officially Launches the Embodied Wheeled Humanoid Robot Base C1-D

Hot Topic | World Models vs. VLA Models: Where Is Embodied Intelligence Ultimately Headed?

With the open-sourcing of Xiaomi-Robotics-0 by Xiaomi, VLA has once again become one of the most discussed topics in the embodied intelligence industry. Given current industry momentum, this level of attention is hardly surprising. By further integrating visual perception, language understanding, and action generation, VLA enables robots to function more like unified intelligent agents capable of “seeing,” “understanding,” and “acting.” Whether from the perspective of technological evolution or industry narrative, VLA is rapidly becoming one of the defining keywords of embodied intelligence. However, equating VLA directly with the entire “brain” of a robot still captures only part of the picture. What truly determines the upper limit of robotic intelligence has never been the model alone, but the combined effect of models, data, control systems, and real-world closed-loop capabilities. In other words, the brain of embodied intelligence is not simply a large model. It is a complete system capability that enables stable perception, real-time decision-making, reliable execution, and continuous evolution in the physical world. <hr/><h1 data-section-id="itwqja" data-start="1239" data-end="1299"> VLA Is Important, But It Is Not the Entire Robot Brain</h1> The value of VLA lies first in providing robots with a more unified framework for understanding and action. In the past, many robotic systems were assembled through fragmented modular architectures: one system for perception, another for planning, and another for control, with limited true integration among them. The emergence of VLA gave the industry a clearer vision of a new possibility—robots directly understanding tasks from multimodal inputs, organizing actions, and connecting “perception, reasoning, and execution” into a more natural intelligent workflow. This marks an important step in the evolution of embodied intelligence. At the same time, however, it is equally important to recognize that VLA solves only part of the robot brain challenge—not the entirety of it. It improves the way robots understand tasks, but it does not automatically translate into stable execution in real-world environments, nor does it inherently provide industrial-grade scalability. Because robots ultimately operate not in the world of text, but in the physical world. In physical environments, robots must deal not with abstract symbols, but with friction, torque, deformation, occlusion, displacement, collisions, errors, and environmental disturbances. A slight deviation in action is not simply an inaccurate response—it may directly result in failed grasping, unstable movement, interrupted operations, or even system-wide cascading failures. As a result, while VLA can significantly enhance a robot’s understanding and action generation capabilities, it cannot independently solve the core challenges of embodied intelligence deployment: high reliability, strong generalization, and continuous evolution. This is why SEER Robotics has consistently maintained that a true robot brain should not be viewed as a standalone model, but as an integrated system jointly built by AI capabilities and control systems. <hr/><h1 data-section-id="q2sphn" data-start="3226" data-end="3312"> What Embodied Intelligence Truly Lacks Is High-Quality Physical Interaction Data</h1> If internet-scale text data was the defining resource of the large language model era, then high-quality real-world physical interaction data is becoming the defining resource of the embodied intelligence era. One fundamental reason humanoid robot intelligence is still progressing slowly is the severe shortage of such data. As of early 2026, the total amount of high-quality real-world physical interaction data worldwide is estimated at only around 500,000 hours—less than one twenty-thousandth of the data used to train large language models. The gap is not merely about scale, but about fundamentally different data generation mechanisms. Large language models primarily learn from internet data, which is naturally collectible, cleanable, reusable, and scalable. In contrast, embodied intelligence relies on continuous interaction between robots and the physical world, including positional changes, posture adjustments, contact feedback, friction variations, force control responses, task correction processes, and countless unexpected states in complex environments. This type of data cannot simply be scraped from the internet, nor can it be fully replaced by simulation. Simulation environments certainly help with training, but simulation is ultimately not reality. Many critical details that determine task success—such as material differences, contact deformation, environmental noise, actuator errors, and target displacement—are highly complex in the real world. These are precisely the challenges robots must overcome when transitioning from demonstrations to mass deployment. Consider fruit picking as an example. A robot must not only identify the location of a fruit, but also adjust the robotic arm angle based on orientation, determine contact points, control gripping force in real time, and continuously correct motion trajectories during detachment. What appears to be a simple action actually requires extensive training on massive volumes of multimodal physical interaction data. Without sufficient real-world data, robots cannot achieve stable execution—let alone deep capability development. This realization is shifting the industry focus. The competition in embodied intelligence is evolving from “who has the stronger model” to “who has the stronger data closed-loop capability.” <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="https://cdn1.seer-group.com/static/mp5af1tug0o2p99e5ea.jpg" width="850px" style="width:850px"/></div> <hr/><h1 data-section-id="d48lo9" data-start="5642" data-end="5696"> Why Humanoid Robots Face Greater Data Challenges</h1> This is also one of the most overlooked realities in the industry today. Humanoid robots are undoubtedly one of the most imaginative endgame forms of embodied intelligence. They possess strong general-purpose operational potential and serve as the most intuitive representation of “future robots” for the public. However, from the perspective of data accumulation and deployment pathways, the humanoid route is also one of the most complex, expensive, and difficult approaches for establishing rapid closed-loop systems.The reason is straightforward. Humanoid robots possess significantly higher degrees of freedom, larger action spaces, longer coordinated control chains, and greater sensitivity to environmental changes. As a result, for the same hour of training data, humanoid robots must cover state spaces far larger than many task-specific robotic systems. In other words, humanoid robots are not impossible—they simply demand far higher standards for high-quality data scale, data density, and system stability than many people intuitively realize. This is why SEER Robotics has consistently emphasized that the future of embodied intelligence should not be narrowly interpreted as “humanoids alone represent the future.” Instead, the focus must return to real-world scenarios, practical tasks, and tangible value creation. In embodied intelligence deployment, technology pathways are determined not only by imagination, but also by data availability, control complexity, scenario maturity, and customer value realization. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="https://cdn1.seer-group.com/static/mp5afxxjq4e1m5xpfp.png" width="850px" style="width:850px"/></div> <hr/><h1 data-section-id="1me6hlm" data-start="7244" data-end="7342"> The True Robot Brain Is Ultimately a System Built on Data, Control, and Real-World Scenarios</h1> Viewed from this perspective, the concept of a “robot brain” becomes much clearer. A truly deployable embodied intelligence brain can never rely on a single-point model capability alone. It must contain at least three essential layers of capability:<h3 data-section-id="yxo6na" data-start="7597" data-end="7624"> 1. Model Capability</h3>How robots understand tasks, organize actions, and establish higher-level cognitive and decision-making frameworks.<h3 data-section-id="8ohxbh" data-start="7742" data-end="7771"> 2. Control Capability</h3>How robots coordinate “hands, eyes, and movement systems” together, ensuring stable execution, rapid correction, and continuous controllability in real time.<h3 data-section-id="pw2hh4" data-start="7931" data-end="7969"> 3. Data Closed-Loop Capability</h3>Whether robots have entered real-world environments, continuously collect effective operational data, and feed that data back into models and systems to drive ongoing evolution. None of these layers can be missing. This is precisely why SEER Robotics continues to follow a “fusion of established and emerging technologies” approach in embodied intelligence development. On one side, technologies such as VLA, world models, end-to-end architectures, and reinforcement learning continuously strengthen the robot brain. On the other side, mature control systems, proven industrial scenarios, and reliable product architectures allow these new technologies to rapidly establish effective real-world closed loops. The value lies not only in building new robotic products, but also in proving a deeper principle: Major breakthroughs in embodied intelligence often emerge from systems engineering and scenario closed loops—not from isolated leaps in standalone model capability. Similarly, under the direction of “established technologies + next-generation products,” SEER Robotics continues integrating robot control systems with AGI capabilities to create a truly unified robot brain. Because only when control, perception, decision-making, and execution operate as one integrated system can robotics intelligence evolve from “demonstration capability” to “real operational productivity.” <hr/><h1 data-section-id="amsbzr" data-start="9368" data-end="9472"> The Industry’s Real Turning Point Will Not Be About Bigger Models, but About Closed-Loop Flywheels</h1> Ultimately, the true dividing line in embodied intelligence may not be who releases the next larger model first, but who first establishes a continuously operating flywheel connecting models, data, control systems, and real-world scenarios. Whoever enters real-world environments earlier gains earlier access to high-value data. Whoever accumulates high-value data earlier gains a greater opportunity to train more stable systems. Whoever builds stable systems earlier gains stronger advantages in real markets. This is not a competition of isolated technologies. It is a long-term competition of system capabilities. VLA is important because it represents a critical direction in the evolution of embodied intelligence. But VLA is only the beginning—not the destination. The true robot brain is not merely a VLA model. It is a long-term systems engineering effort jointly built upon data closed loops, control capabilities, scenario understanding, and sustainable deployment capacity. This is also the direction SEER Robotics continues to pursue: SEER Robotics, All Robots. One Platform. Fully in Your Control The goal is not simply to build larger models, but to bring truly capable robot brains into industry, into real-world scenarios, and into scalable deployment across the physical world.

SEER Robotics Insights | Embodied Intelligence Requires More Than Just VLA Models

As embodied intelligence becomes a major focus of both policy and capital investment, humanoid robots are increasingly dominating technology headlines under labels such as “the ultimate form of embodied AI.” Alongside this trend, a growing industry misconception is also being amplified: Many people now assume that embodied intelligence is synonymous with humanoid robots, and that only anthropomorphic bipedal robots represent the “true” form of embodied AI.But is that really the case? The answer is no. Humanoid robots have never represented the entirety of embodied intelligence, nor are they the only pathway toward it. Clarifying this fundamental understanding is essential for truly recognizing the technical nature, industrial roadmap, and future direction of embodied intelligence. <hr/><h1 data-section-id="1hdmpal" data-start="896" data-end="962"> I. Returning to Fundamentals: What Is Embodied Intelligence?</h1> To move beyond the industry’s growing “humanoid fixation,” we must first return to the core definition of embodied intelligence. Embodied AI represents the expansion of artificial intelligence from the digital world into the physical world. At its core, it uses AI foundation models as the software backbone, embedding intelligence into physical hardware systems to achieve real-time interaction and autonomous evolution through a complete closed loop of: environmental perception → autonomous decision-making → physical execution → feedback-driven iteration Put simply, large language models and multimodal models belong to the category of “disembodied intelligence.” They process information and generate outputs within virtual digital environments, functioning as highly capable “thinkers” that remain disconnected from physical reality. Embodied intelligence, by contrast, transforms AI into a “doer” capable of entering the real world. Through physical hardware systems that can “see,” “hear,” and “act,” embodied AI converts AI reasoning into practical physical-world actions. Two essential characteristics immediately break the misconception that embodied intelligence must equal humanoid robots.<h3 data-section-id="190tulm" data-start="2178" data-end="2224"> 1. The Core Criterion Is AI Capability</h3> The true technological essence of embodied intelligence lies in AI capability itself: machine perception, understanding, reasoning, decision-making, autonomous learning, and adaptive interaction. What we often refer to as the “robot brain” is jointly built upon data-driven AI models and control systems. A standalone large model alone cannot truly deliver a deployable embodied intelligence brain.<h3 data-section-id="874hne" data-start="2627" data-end="2674"> 2. Embodiment Has No Single Form Factor</h3> The physical carriers of embodied intelligence are not limited to humanoid structures. Different robotic forms possess different advantages. As long as a system is driven by AI models and capable of establishing a closed-loop interaction with the physical world, it represents a valid embodiment of embodied intelligence. SEER Robotics has gained deep practical insight into this through real-world embodied intelligence deployment. Embodied intelligence is not a concept defined only by a distant end state. It is a progressive process in which AI capabilities continuously unlock value across different physical platforms. What determines this process is not only the model itself, but also the hardware platform, data availability, scenario complexity, and customer value realization. Based on this understanding, SEER Robotics believes embodied intelligence can be broadly divided into three stages. <hr/><h1 data-section-id="1xo3ete" data-start="3591" data-end="3673"> Stage One: Autonomous Vehicles — Solving the Initial Challenge of “Mobility”</h1> At this stage, the hardware platform—the vehicle itself—is already mature. The primary focus is leveraging real-world sensory data, particularly vision, to solve one core challenge: How to enable machines to move reliably in the physical world. The key value of this phase includes:<ul><li> Validating the feasibility of the embodied AI closed loop of perception, decision-making, and execution </li><li> Accumulating massive volumes of real-world interaction data </li><li> Advancing core technologies such as multimodal perception and real-time decision-making </li></ul><div class="media-wrap image-wrap align-center" style="text-align:center"><img src="https://cdn1.seer-group.com/static/mpaue39pxjwv26g2n2.png" width="850px" style="width:850px"/></div> <hr/><h1 data-section-id="lkdqb" data-start="4226" data-end="4338"> Stage Two: Embodied Intelligent Robots — Solving “Mobility + Light Manipulation + Intelligent Interaction”</h1> At this stage, the hardware platforms are also relatively mature, and the underlying data and technical paradigms closely resemble those used in autonomous driving. The difference is that robots move one step beyond pure mobility, entering real industrial scenarios that require light manipulation and intelligent interaction. This is precisely the stage SEER Robotics is currently focused on. Platforms combining mobility with light operational capabilities have already undergone extensive market validation and are becoming increasingly mature. Examples include intelligent forklifts, mobile robots, and composite robotic systems. These platforms typically involve limited degrees of freedom and do not require dexterous hands, highly delicate manipulation, or extremely complex multimodal training data. The core value of this stage lies in:<ul><li> Controllable technical risk </li><li> Faster deployment cycles </li><li> Strong cost advantages and scalability </li><li> Rapid validation of embodied intelligence in real industrial environments </li></ul> <hr/><h1 data-section-id="5ngc1m" data-start="5372" data-end="5494"> Stage Three: General-Purpose Humanoid Robots — Solving “Mobility + Dexterous Manipulation + Intelligent Interaction”</h1> This represents a more advanced long-term vision for embodied intelligence. However, today it still depends on hardware platforms, multimodal physical data, and technological paradigms that remain insufficiently mature. Humanoid robots are indeed the “crown jewel” of embodied intelligence—but they are neither the starting point nor the entirety of embodied AI. The industry must respect the objective laws of technological evolution: beginning with deployable, high-value scenarios and gradually advancing toward more sophisticated forms. <hr/><h1 data-section-id="oo9mog" data-start="6046" data-end="6088"> II. Scenarios Determine Form Factors</h1> The essence of embodied intelligence lies in the coordination between “body” and “intelligence”—not whether the body resembles a human being. Through its strategy of integrating established industrial technologies with next-generation AI capabilities, SEER Robotics is exploring a diversified pathway for embodied AI deployment. Different robotic forms excel in different scenarios:<ul><li> Wheeled robots: High efficiency, strong stability, and low energy consumption in structured environments </li><li> Legged robots: Exceptional adaptability in complex terrain </li><li> Specialized robots: Optimal efficiency and cost performance in dedicated industrial applications </li></ul> For example:<ul><li> On manufacturing lines, specialized robotic systems significantly outperform humanoid robots in efficiency, stability, and cost control </li><li> In mining or oil and gas pipeline inspection, tracked robots possess environmental adaptability far superior to bipedal humanoid structures </li><li> In home cleaning scenarios, robotic vacuum cleaners have already achieved practical large-scale deployment—far beyond the current maturity level of humanoid robots still in experimental phases </li></ul> <hr/><h1 data-section-id="1notdwq" data-start="7251" data-end="7339"> III. The Future of Embodied Intelligence Will Never Belong to a Single Form Factor</h1> Across the industry, one major trend is becoming increasingly clear: Embodied intelligence is moving away from the hype of “blind anthropomorphism” and shifting decisively toward practical, scenario-driven deployment. The ultimate mission of embodied intelligence has never been to create robots that look exactly like humans. Its true mission is to bring AI out of the digital world and into real industries—solving practical challenges across countless sectors. Form factors will always serve scenarios. Intelligence remains the true core. This is the foundational logic driving the embodied intelligence industry forward. <hr/><h1 data-section-id="z3gxas" data-start="7978" data-end="7998"> IV. Conclusion</h1> Returning to the original question: Does embodied intelligence necessarily mean humanoid robots? SEER Robotics’ answer is clear: Humanoid robots can certainly represent embodied intelligence—but embodied intelligence is far more than humanoid robots alone. True embodied intelligence means: Scenarios determine form factors. Technology empowers intelligence. Regardless of a robot’s physical structure, any system capable of efficiently perceiving and interacting with the physical world represents a valuable embodiment of embodied AI. Looking ahead, SEER Robotics will continue advancing core technologies, expanding ecosystem collaboration, and supporting the deployment of increasingly diverse forms of embodied intelligence. Together, we will continue exploring the limitless possibilities of embodied AI and advancing the mission of: SEER Robotics, All Robots. One Platform. Fully in Your Control

SEER Robotics Insights | Does Embodied Intelligence Necessarily Mean Humanoid Robots?

As the wave of intelligent factory logistics and warehousing sweeps across industries, companies still face three major challenges when introducing smart robotics solutions:1. Lengthy selection, customization, and delivery cycles: How to quickly obtain robots perfectly suited to specific business scenarios?2. Complex peripheral expansions: How to flexibly integrate accessories like LiDARs, sensors, and drivers?3. Difficult functional customization: How to meet diverse and unique robotic functional requirements? To address these pain points, SEER Robotics has independently developed the Nebula System, revolutionizing the way robots are acquired with a one-stop robot selection platform, making robotics accessible to all. The Nebula System offers a curated selection of over 1,000 robots equipped with SRC series controllers, covering various types such as wheeled humanoid robots, multi-legged robotic dogs, lifting robots, smart forklifts, tote-moving robots, cleaning robots, and all-terrain robots. With a simple and intuitive interface, the Nebula System enables customers to achieve &quot;what you see is what you get&quot;—quickly selecting and configuring robots tailored to their needs. It also supports end-to-end delivery tracking, allowing customers to monitor progress at every stage in real-time and accelerate deployment. In the first half of 2025, we launched a full range of robot products co-developed with partners on the Nebula System. From high-performance smart forklifts to agile lifting robots, from modular customizable robot chassis to specialized all-terrain robots, these offerings cover mainstream robot types. Additionally, they provide diverse load capacity options, appearance customization, product certifications, and functional add-ons, solving customers&#x27; three key pain points—rapid acquisition, flexible expansion, and functional customization. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="https://cdn1.seer-group.com/static/688a113e4bd3e5070b9322fd.gif" width="850px" style="width:850px"/></div> Take the ground-handling smart forklift SFL-CBD15-ZL as an example. Through the Nebula System, users can freely select from 300+ plug-and-play accessories by SEER Robotics, optimizing the total cost of the machine to the fullest. It also supports various optional configurations such as laser navigation, pallet recognition, 3D obstacle avoidance, 3D navigation, and gimbal monitoring, along with customization options for fork width, color, and logos. The entire process, from selection to customization to delivery, is transparent and visible, enabling one-stop fulfillment of complex requirements. Below are more smart robots customized via the Nebula System—take a sneak peek! Robot ChassisUniversal Intelligence, Unlimited Expansion1. Self-developed vehicle steady-state system for smoother operation of upper-mounted equipment.2. Industry-first omnidirectional standard chassis, with leading positioning, navigation, and superior motion control performance.3. Modular structure and integrated wiring design for quick change-out, enhanced convenience, and safety.4. Ultra-thin body design with mainstream expansion interfaces, compatible with various upper-mounted mechanisms such as lifting, roller, and towing. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="https://cdn1.seer-group.com/static/688a11ad797840072166b362.png" width="850px" style="width:850px"/></div> Autonomous ForkliftAI-empowered, High-performance Material Handling Assistant1. Wide-range load capacity, meeting the full-scene needs from light-duty transfer to heavy-duty storage.2. AI deep learning for adaptive identification and fork-lifting of carriers, ensuring stable pick-up and placement.3. Modular design enhances product reliability and stability, and reduces maintenance costs.4. Maximum travel speed of up to 2 m/s, combined with intelligent path planning for more efficient operations. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="https://cdn1.seer-group.com/static/688a122e1454da07487b99e7.png" width="850px" style="width:850px"/></div> Lifting RobotElegant and Agile, Precise Production Line Flow1. ± 5 mm repeat positioning accuracy, precisely meeting the dynamic production line flow requirements.2. Lightweight and compact body, with lower environmental requirements, broader coverage of scenarios, and fewer site restrictions.3. Modular lifting mechanism design, balancing stability and maintenance convenience. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="https://cdn1.seer-group.com/static/688a126db1ba27073626d404.png" width="850px" style="width:850px"/></div> Bin-Handling RobotPreferred for Intelligent Warehousing1. Integrated control by SRC controller for all-in-one control of movement and pick-up/put-down of goods.2. Enhanced by M4 Smart Logistics Management System for real-time dynamic optimization of storage locations and intelligent order-picking.3. Suitable for narrow aisles, higher passability, and overall improved space utilization. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="https://cdn1.seer-group.com/static/688a12c5b1ba27073626d405.png" width="850px" style="width:850px"/></div> All-Terrain RobotAll-purpose for Indoor and Outdoor Use1. All-weather, multi-scenario application for both indoor and outdoor use, breaking environmental limitations.2. Unafraid of climbing slopes, overcoming obstacles, and crossing curbs, ensuring smooth travel on complex terrains.3. ± 2 cm precise positioning, with multiple sensors providing 360-degree safety assurance. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="https://cdn1.seer-group.com/static/688a130e41905b073d7e174f.png" width="850px" style="width:850px"/></div>

Empowered by the Nebula System, Building Your Own Robot Fleet Within Days!

At the recently concluded AUTOMATE exhibition in North America, SEER Robotics once again showcased our new product, the SPT-1000, specifically designed for closed pallets. Featuring an innovative E-type structure, it supports closed pallet handling and integrates AI deep learning technology, breaking through traditional handling boundaries to precisely address pain points in North American warehouse scenarios. This redefines a new paradigm of efficient, flexible, and safe industrial logistics. <div class="media-wrap embed-wrap"><div><iframe width="850" height="450" src="https://www.youtube.com/embed/I71pboF4-mQ?si=usiKSpI7fImk0-pH" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div></div> Patented E-Type Structure, Compatible with Multiple Forms and Scenarios The SPT-1000 adopts a brand-new E-type fork structure with a patented, unique design that supports closed pallets and is compatible with mainstream carrier types such as grid pallets, stringer pallets, material cages, and racks. With an ultra-thin body height of 150mm, a minimum passage width of 1300mm, and a minimum turning radius of 900mm, the SPT-1000 is compact and agile, combining the dual advantages of intelligent forklifts and underride lifting robots. It maintains exceptional stability even during high-level cargo handling, effortlessly tackling 95%+ of handling scenarios. AI-Powered Intelligence, Unfazed by Complex Working Conditions SEER Robotics&#x27; full range of intelligent forklifts supports AI deep learning adaptive recognition and handling technology. Trained on massive scenario data, it enhances the generalization ability of carrier recognition, intelligently identifying pallet angle deviations (automatic correction for up to ±30°), damage/deformation, stacked states, and complex lighting environments. It adaptively adjusts the handling path to ensure precise pickup and placement in complex working conditions. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/68341074d13f7f0039267b44.gif" width="850px" style="width:850px"/></div> Versatile Navigation Options, ±5mm High Precision The SPT-1000 supports multiple navigation methods, including laser SLAM, NFL (Natural Feature Localization), QR codes, and reflective plates, which can be freely configured. Its repeat positioning accuracy reaches up to ±5mm, with an angle accuracy of ±1°, meeting navigation needs from static warehouses to dynamic production lines. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/683410865ef5460031e9062e.gif" width="850px" style="width:850px"/></div> 360° Safety Protection, Ready for Extreme Challenges 1、3D Visual Obstacle Avoidance: Equipped with front-mounted laser sensors for 360° blind-spot detection, the SPT-1000 can dynamically identify obstacles within a 3m range, with a rapid response time of less than 0.1s. 2、Multi-Layered Safety Protection: Integrates emergency stop switches, audible-visual alarms, anti-collision edges, and more to ensure safety in human-machine collaborative operations. 3、Superior Environmental Adaptability: Easily traverses complex terrains such as 30mm gaps, 3° slopes, and slippery floors, conquering extreme ground conditions. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/6834109fc2ee22003269d392.gif" width="850px" style="width:850px"/></div> Deep Customization for Flexibility, Unleashing Application Potential 1、Flexible Load Capacity: Standard load of 1000kg, upgradable to a 1500kg heavy-duty version, offering more load options. 2、Modular Architecture: Fork width and body height support deep customization for precise adaptation to various application scenarios. 3、Brand Customization: Matches customer brand styles, supporting customized body colors and corporate VI system integration. 4、System Integration: Seamlessly connects with ERP and MES customer business systems and supports coordination with robotic arms and conveyor lines. Based on SEER Robotics&#x27; powerful and user-friendly software tools, it can create a fully intelligent factory workflow solution.

Product Launch | New E-Type Closed Pallet Handling Forklift SPT-1000

In the transformation towards smart factories, the efficiency optimization of digital system software has become a key factor affecting the effectiveness of intelligent equipment deployment. More and more enterprises are recognizing the core competitiveness of software. Digital system software is not only the foundational support for the operation of intelligent equipment like robots but also a critical tool for optimizing production processes, improving operational efficiency, and unlocking the data value. <div class="media-wrap embed-wrap"><div><iframe width="850" height="450" src="https://www.youtube.com/embed/v6zzURHJt8k?si=3_EeYYaFHHKlkvcn" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div></div> As an innovative leader in the field of smart robotics, SEER Robotics adheres to our core philosophy of &quot;Build your own robot fleet within days!&quot; By deeply integrating intelligent robot scheduling, warehouse logistics, and visualization technologies, SEER Robotics has developed a digital system that covers all industrial scenarios, empowering enterprises to upgrade their digital transformation paradigms. Digital Product MatrixSEER Robotics&#x27; independently developed digital product matrix consists of two core modules: the M4 Smart Logistics Management System and Visualization Series Products, featuring a modular architecture and open ecosystem with detachable, combinable, and scalable capabilities. 1. M4 Smart Logistics Management Systeml QuickGo (Single-Robot Application): A smart scheduling solution for single robots of multiple types, designed for scenarios without traffic management needs.l QuickFleet (Multi-Robot Scheduling): A global intelligent scheduling solution for multiple robots and tasks.l QuickStore (Warehouse-Logistics Integration): A warehouse management system specifically designed for automated warehouses involving intelligent robots. 2. Visualization Series Productsl Meta-Map (2D Robot Visualization Map): A two-dimensional robot map visualization product tailored for factory environments.l Meta-Map Pro (3D Robot Visualization Map): A three-dimensional robot map visualization product designed for factory environments.l Meta-World (Digital Twin Solution): A visualization product that accurately replicates factories 1:1 using digital twin technology. Intelligent Algorithms Achieves Global CollaborationLeveraging self-developed software architecture and algorithmic advantages, the M4 System centers on robots and fully integrates industrial automation business characteristics to achieve optimal solutions for task allocation, path planning, and traffic control. 1. Global Dynamic Task AllocationFor task allocation, the M4 system employs intelligent algorithms to break through traditional static task allocation models. It dynamically combines real-time operational data such as task type, material status, robot condition, global task progress, and traffic conditions to select the optimal solution from thousands of combinations in a short time. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/68077262d6b1b60030c8f5db.gif" width="850px" style="width:850px"/></div> Pioneering the &quot;Pre-order + Task Merging&quot; model, M4 considers globally optimal task allocation from the ground up, pre-allocating tasks and automatically consolidating similar ones to reduce robot idle rates and enhance overall factory efficiency. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/68077273d6b1b60030c8f5dc.gif" width="850px" style="width:850px"/></div> 2. Powerful Warehouse Strategy EngineM4&#x27;s strategies and algorithms are deeply optimized for warehouse scenarios, offering basic storage strategies, batch outbound strategies, minimal sorting outbound strategies, forced full-out strategies, automatic empty-container strategies, bin robot port and location selection strategies. These features automatically match task orders with inventory, reducing shelf vacancy rates and improving inbound and outbound efficiency. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/6807728ce276d20037688bda.gif" width="850px" style="width:850px"/></div> 3. Multi-Agent Collaborative PlanningFor path planning and traffic control, M4 utilizes multi-agent collaborative planning algorithms. In scenarios with arbitrary topological structures or human interference, it enables multi-robot path searching and traffic control through dynamic global coordination planning, real-time perception of dynamic obstacles, and automatic path replanning for avoidance. This resolves congestion issues in multi-type robots during co-line operation, ensuring robots effectively avoid congestion, prevent and resolve deadlocks, and maintain task continuity. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/680772980a8933003de1cfc5.gif" width="850px" style="width:850px"/></div> Panoramic Visualization for Decision SupportSEER Robotics&#x27; digital products fully integrate visualization capabilities, providing panoramic monitoring, multi-feature fusion, and full lifecycle management visualization solutions for various industrial sectors. This helps factories build efficient visual information platforms and decision-making systems to precisely optimize production operations. 1. Spatial VisualizationThe visualization series products use 2D/3D technology to replicate factory environments and robot statuses, displaying real-time information on robots, storage locations, and goods. They synchronize task-related data for panoramic operational control, enabling quick insights and production efficiency optimization. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/680772b61313040031ffd2b5.gif" width="850px" style="width:850px"/></div> 2. Data VisualizationThe M4 System&#x27;s dynamic inventory dashboard provides visual management capabilities, supporting multi-dimensional inventory analysis and one-click inbound/outbound operations, seamlessly bridging &quot;Goods-to-Person&quot; and &quot;Goods-to-Warehouse&quot; workflows. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/680772e11313040031ffd2b6.gif" width="850px" style="width:850px"/></div> The scheduling system integrates 2D robot visualization, featuring 16 types of visual module charts, including robot status distribution, daily order intake, daily execution efficiency, task completion rate, and recent task anomalies. It supports customizable data dashboards, offering a clear overview of overall scheduling. 3. Risk VisualizationEquipped with multi-industry solutions and risk assessment models, M4 supports scenario simulation, risk prediction, and historical backtracking to aid decision-making and avoid trial-and-error costs in real-world applications. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/680772ef0a8933003de1cfc6.gif" width="850px" style="width:850px"/></div> The intelligent early warning system provides real-time feedback on robot anomalies through color gradients, automatically generating diagnostic reports with failure causes and solutions. This helps staff quickly locate and resolve issues, ensuring production continuity. Innovative Solutions Breaking Boundaries 1. Lightweight Single-Robot Scheduling SolutionQuickGo is a lightweight scheduling solution tailored for single-robot operations, supporting rapid deployment of multiple robot types without additional servers or industrial personal computers, significantly reducing initial costs.Through devices like smartphones, tablets, or computers, users can easily control robot movement, send tasks, and handle faults. It supports manual/automatic mode switching to meet complex scenario demands. 2. High-Security Communication SolutionFor environments without wireless networks or requiring high confidentiality, the M4 System offers a stable, low-latency communication solution based on optical communication technology.By using optical signals for robot-device interaction, the system minimizes performance overhead (CPU usage as low as 2%), with end-to-end latency lower than traditional solutions. It supports multi-robot co-line operation, dynamic path planning, and compatibility with robots, automatic doors, elevators, and other smart devices. 3. Flexible Support for Secondary DevelopmentM4 System provides a low-code engine, enabling visual workflow orchestration—users can drag-and-drop pre-built components to reconstruct business processes. Beyond standard products, M4 supports customization and secondary development, including online script customization for task interfaces, event handlers, and even pre-built components. This adaptability addresses more complex business scenarios. By offering all-scenario smart factory solutions—from single-robot control to multi-agent collaboration, dynamic warehouse optimization to global visual decision-making—SEER Robotics&#x27; digital solutions have empowered 20+ industries and over 1,000 clients, driving operational efficiency improvements and leading the deep transformation of global smart factories.

Empowering All Scenarios! SEER Robotics’s All-in-One Digital Solution

QuickGo 2.0 Fully Upgraded, Enjoy Ultra-Cost-Effective Intelligent Single-Car Dispatching with Excellent Performance Ratio

When facing complex customer factory workshop scenarios and standard robot products on the market cannot meet specific customer needs, an ideal solution is to choose a product that can provide highly customized services. In this case, SEER Robotics&#x27; AMB series of autonomous transport chassis is undoubtedly the best choice to meet various non-standard robot manufacturing needs, providing an efficient and convenient vehicle manufacturing approach for customers with certain manufacturing and design capabilities. The AMB chassis offers a variety of expansion interfaces for mounting various upper structures on top of the chassis. By standardizing the complex variables in the robot manufacturing process, it not only reduces the difficulty and cost of manufacturing and shortens the delivery cycle but also greatly enriches the diversity of application scenarios. Currently, the AMB chassis has been widely applied in leading enterprises across various industries, such as Huawei, Nanfu, Siemens, Schneider, and other well-known companies. This case collection will take you on a deep dive into the application examples of the AMB chassis. Huawei Laboratory Huawei, as a leader in the field of communications, is far ahead in the application of innovative technologies in its Lingxi Communication Laboratory. In various scenarios testing mobile phone performance, there are extremely high demands for the stability of phone grasping and the precision of docking. For instance, in mobile phone camera anti-shake tests, composite robots equipped with the AMB chassis have demonstrated exceptional stability and precision. With high-precision positioning and integrated control, these composite robots can steadily grip the phones, ensuring each docking is accurate and efficient.Nanfu Energy Plant Based on Nanfu&#x27;s independently developed intelligent manufacturing system, with the support of high-level automation and AI technology, the Nanfu Energy Plant has achieved efficient and high-quality Nanfu intelligent manufacturing, realizing full automation, unmanned, and intelligent operations throughout the plant. The automatic replacement of separator paper equipment in the final assembly workshop is a custom robot built on the AMB chassis, integrated with the business system, serving six production lines, and supplementing separator paper as needed. Thanks to the rich interfaces and script development environment of the AMB chassis, Nanfu has been able to quickly carry out secondary development, program and design the robots independently, create automation equipment more suited to the production line, and accelerate Nanfu&#x27;s intelligent manufacturing. 3C Electronics Giant An international 3C electronics giant, facing the need to upgrade internal logistics, chose SEER Robotics to create a more intelligent and flexible production line circulation model. In addition to employing SEER Robotics&#x27; standard products, for complex handover scenarios, they selected composite robots based on the AMB chassis. <div class="media-wrap embed-wrap"><div><iframe width="850" height="450" src="https://www.youtube.com/embed/AQfOqUoGlV4?si=xYRP0_D9jHW0gdKa" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div></div> These robots achieve collaborative coordination through the Unified Resource Dispatching System (RDS) and seamlessly integrate with the factory&#x27;s business systems, rejuvenating the internal transportation and enabling a smart upgrade of the factory. This upgrade is achieved with lower costs and a shorter project cycle while maintaining the original production efficiency. Semiconductor Industry Applications In the intelligent logistics solution for the semiconductor industry from SEER Robotics, composite robots equipped with the AMB chassis play a core role. These composite robots can be applied in various scenarios such as transportation, docking, and grasping, precisely empowering every production link from wafer manufacturing, packaging testing to finished product warehousing. <div class="media-wrap embed-wrap"><div><iframe width="850" height="450" src="https://www.youtube.com/embed/aBccD16Ky1A?si=QuL1xtBOvi18ZAAH" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div></div>Based on SEER Robotics&#x27; advanced control systems and vision systems, these composite robots have a definite advantage in terms of smoothness of motion, accuracy of grasping, and speed of deployment and recognition. They completely break the traditional stereotype of composite robots being inefficient and slow in recognition, providing the semiconductor industry with more efficient and intelligent logistics solutions. The Preferred Chassis for Going Global To meet the safety needs of overseas customers and the going-global strategy of partners, SEER Robotics has previously launched the AMB-300XS chassis with the built-in safety controller SRC-3000FS. This chassis has passed the CE safety directive certification, providing the highest level of quality and safety assurance, ensuring worry-free product exportation. <div class="media-wrap embed-wrap"><div> <iframe width="850" height="450" src="https://www.youtube.com/embed/TNCT7fAlLQ4?si=AuDcggyeoxnyuJnS" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div></div> With its outstanding safety performance, high-quality standards, and wide applicability, the AMB-300XS has become the ideal choice for many of SEER Robotics&#x27; partners when expanding into overseas markets, providing a safe and reliable intelligent logistics solution for more global customers.

Composite Robot | AMB Chassis Application Case Collection

Safety factors are key to ensuring the successful application of robots. SEER Robotics, with an ultimate pursuit of product quality, strictly controls various aspects such as functional safety, mechanical safety, electrical safety, and software safety to build a solid defense line for safety. This ensures that every stage of the product lifecycle meets high standards of safety requirements, aiding in the efficient and sustainable development of customers. Functional Safety In terms of functional safety, SEER Robotics is committed to identifying and reducing potential sources of risk, ensuring that robots can maintain a safe state even in the event of system failures or operational errors. During the certification process of SEER Robotics&#x27; self-developed safety controller, the SRC-3000FS, it received training, guidance, and assessment from the globally renowned third-party testing and certification organization, SGS. By learning the latest international standards and cultivating safety concepts, safety methods and measures were integrated into the product during the design phase. Through rigorous validation testing, SEER Robotics ensures that all safety-related components can reliably perform their intended functions, creating a high-quality controller with built-in functional safety. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6748302d04d9270042ca1615.png" width="850px" style="width:850px"/></div> Emergency Stop Function The most basic of all safety functions, it consists of two parts: emergency stop input and emergency stop output. It features a dual-channel emergency stop input/output function with diagnostic capabilities, requiring an external double-knife emergency stop button, and the driver needs to support the STO (Safe Torque Off) function. Safety Speed Monitoring Function The monitoring of the movement speed of differential dual-wheel robots and single-steering wheel robots is achieved through one or two safety encoders, including both travel speed and rotation speed. When the speed exceeds the threshold, it controls the drive and motor to stop urgently. Safety Steering Detection Function For single-steering wheel robots, the robot&#x27;s steering is related to the direction of the rudder angle. The direction of the robot&#x27;s left or right turn is determined by detecting the rudder angle through safety proximity switches. Safety Obstacle Avoidance Function The SRC-3000FS detects the robot&#x27;s movement speed and steering information through safety encoders and safety proximity switches, and then controls the safety laser to switch the safety protection area through a safety DO (Digital Output). When an obstacle is detected in the safety zone, it controls the driver and motor to stop urgently. Safety Limit Function Safety proximity switches are used to detect whether a linear motion mechanism has moved into place or encountered a collision, and to control the drive and motor to stop once the position is reached. Safety Feature:Refers to specific features or components designed to provide protection and prevent the occurrence of dangerous accidents. In industrial settings, safety features may include emergency stop buttons, explosion-proof valves, mechanical barriers, and more. These functions are part of a system used to directly intervene in safety-related matters to protect personnel, equipment, and the environment.Functional Safety Refers to a set of attributes related to the safe execution of necessary functions by electronic systems, especially the ability to maintain these functions in the event of a failure. It covers the entire lifecycle of a system, including design, implementation, operation, and maintenance, ensuring that the system or equipment cannot cause unacceptable risks under normal or abnormal operating conditions. Functional safety is typically achieved through a series of engineering measures and management processes, and it is a quantifiable methodology. Well-known related international standards include IEC 61508 and ISO 26262 (which pertains to functional safety in the automotive industry). In simple terms, a safety function is a specific inherent characteristic or component of a system that is implemented to achieve safety objectives, while functional safety refers to the entire set of processes and attributes that ensure safety functions are executed correctly in a manner designed to reduce risks to an acceptable level. Together, they enhance the overall safety performance of a system. Mechanical Safety Mechanical safety is the first line of defense against physical injuries. In terms of mechanical safety, there is a potential for collisions and crushing due to design flaws or equipment component failures, which can cause personal and property damage. This issue is particularly prominent for heavy-load robots. To ensure product mechanical safety, SEER Robotics not only conducts comprehensive safety plan demonstrations in the early stages, takes adequate safety measures, and obtains relevant certifications, but also carries out strict mechanical strength tests and aging tests. These tests verify the stability and durability of the product under long-term use, ensuring the safe and stable operation of the product under conditions such as high and low temperatures, high vibration, high humidity, and high electromagnetic radiation. Taking SEER Robotics&#x27; standard intelligent forklifts as an example, the entire vehicle has passed the CE-MD certification, ensuring that it meets the highest European Union standards in terms of mechanical safety. This includes not only the stability and strength of the mechanical structure but also the effectiveness of various safety devices, such as navigation lasers, front and rear obstacle avoidance lasers, safety edges, distance sensors, emergency stop buttons, and 3D obstacle avoidance cameras. Electrical Safety In terms of electrical safety, in addition to the mechanical safety issues that can arise from design flaws or low reliability in robots themselves, there are also concerns related to the safety of lithium batteries and electrical usage, as well as the safety of battery transportation. A Battery Management System (BMS) can effectively improve battery utilization by monitoring the real-time working status of the battery, preventing overcharging and over-discharging, ensuring the safe and efficient operation of the battery pack, and extending the battery life. The main functions of the BMS include: -Battery Status Monitoring: Real-time monitoring of the voltage and temperature of each battery cell, as well as the total voltage and total current of the entire battery pack. -Battery Balancing: During the charging and discharging process, adjust the energy distribution among battery cells to ensure that all cells are as close as possible to the same state of charge and discharge. -Thermal Management: Regulate the temperature of the battery pack through heat dissipation or heating devices to ensure it operates within the optimal temperature range. -Safety Protection: Implement various protective mechanisms, such as overvoltage protection, undervoltage protection, overcurrent protection, short circuit protection, etc., and take immediate evasive actions and issue alerts upon detecting any abnormal conditions. -SOC/SOH Estimation: Accurately estimate the parameters of SOC (State of Charge) and SOH (State of Health) to provide users with reliable information on battery Endurance Information -Communication Interface: Provides a communication interface with external devices (such as chargers, robot controllers, etc.), allowing for data exchange and remote monitoring. SEER Robotics&#x27; modular batteries have obtained multiple internationally recognized battery safety certifications, including CB, UL, and CE certifications, ensuring that the product meets strict electrical safety standards in different markets and application environments. SEE Robotics&#x27; modular batteries have not only demonstrated excellence in electrical safety but also received comprehensive validation in the area of transportation safety. They have passed the UN38.3 certification, which is specifically established by the United Nations for the transportation of dangerous goods, as well as air and sea transport appraisal tests. This includes a series of professional tests such as high-altitude simulation, temperature testing, vibration, shock, external short circuit, impact/crushing, overcharging, and forced discharge, ensuring the safety of battery transportation。 Software Safety SEER Robotics&#x27; digital software provides multiple layers of protection for on-site robot safety. The M4 Intelligent Logistics Management System continuously optimizes and enhances its usability and stability, especially in terms of fault recovery. The business processes can smoothly recover from failures and downtimes of mobile robots, equipment, and third-party systems, ensuring business continuity and retryability. The Unified Resource Dispatching System (RDS) supports task visualization, allowing users to observe the execution status and progress of all tasks in real-time from the task management interface. It enables the immediate detection of various faults and exceptions and provides a clear review of problem details. The visualization series of products recreate the real factory environment in 2D and 3D formats, allowing users to more intuitively monitor the entire process status of robots in real-time. When abnormal conditions occur, the system can immediately issue warnings and provide corresponding solutions, helping users quickly pinpoint and resolve issues, ensuring a smooth and efficient production process.

Give Robots a 'Safety' Boost

In order to provide users with a better interactive experience, SEER Robotics&#x27; Unified Resource Dispatching System (RDS) has innovatively integrated 2D robot visualization capabilities, enhancing the intelligent operation feel with more intuitive visuals. The RDS system supports the unified management of all robots and factory automation logistics equipment within the plant, featuring stronger collaborative scheduling capabilities, higher safety levels, and lower learning and development barriers. It can achieve seamless interaction across multiple areas, processes, factory districts, equipment, and machine types, realizing comprehensive plant collaborative planning and intelligent scheduling. As the complexity of smart factory application scenarios increases and the level of intelligence is upgraded, the demand for robot visualization management among customers is also gradually becoming more refined. In response to the actual needs of customers and relying on the strong digital capabilities of SEER Robotics, the RDS system has newly integrated a 2D robot visualization function. This function can meet the visualization needs of customers in a variety of business scenarios, accurately restore the factory environment, and provide real-time updates and feedback on robot-related data and status. It enhances the depth of application, making the visualization management of the factory environment more flexible, more precise, and more personalized, while efficiently managing the entire factory and enhancing the user interaction experience Dual-template flexible switching to accommodate different role requirements. The RDS system&#x27;s visualization module offers two templates to choose from: the Robot Exception Operation template and the Robot Business Execution template. Specific users can switch system templates based on their role requirements. The Robot Exception Operation template primarily focuses on elements such as robot errors and task exceptions. Combined with the map&#x27;s &#x27;alarm mode&#x27; function, it can quickly locate and resolve error issues, enhancing the efficiency of business execution.The Robot Business Execution template mainly focuses on elements such as robot efficiency and task completion status. It allows for real-time monitoring of robot dynamics and task progress, enabling users to easily grasp the overall production situation. Customized, Personalized Visual Digital Factory The visualization module of the RDS system is equipped with a chart library that includes 16 different types of data charts, covering multi-dimensional key indicators such as robot status distribution, daily order volume, daily execution efficiency, task completion rate, and recent task exceptions. Users can configure data dashboards that meet their business needs based on actual business scenarios. Additionally, the visualization module offers a variety of selectable robot styles, covering various standard models from SEER Robotics. Users can create a visual digital factory that matches the actual on-site conditions based on their specific business needs. Moreover, the system supports color customization, allowing users to adjust interface colors according to their company&#x27;s brand VI, creating a more practical and brand-distinctive visualization system. One-click display/hide, flexible and user-friendly interface interaction. To better adapt to users&#x27; daily interaction habits, the RDS system has introduced a one-click hide and display feature. Users can conveniently hide or display default information on the map such as robot predicted paths, preset paths, and point clouds. Additionally, the interface is equipped with chart display switches, allowing users to activate or deactivate the display of various charts according to actual conditions, enabling them to visually manage robot status with a more complete and cleaner interface view. This feature aims to provide a more flexible interface management method, allowing users to freely choose the information they need to view based on their current work requirements, thereby avoiding unnecessary visual interference. Scene map Linked updates in real-time, eliminating the need for additional maintenance. In the usual business scene, there are periodic environmental changes that require updates and adjustments to the scene maps in the robot dispatch system. The visualization module in the RDS system supports real-time linked updates. The scene map conditions in the system, such as stations and routes, can be automatically updated without the need for users to perform additional configuration operations. This linked update mechanism not only saves manual maintenance time and effort but also ensures the real-time accuracy of map data, minimizing the impact on factory production. Based on the upgrade of the 2D robot visualization function, the RDS system has not only expanded the product application boundary but also brought a qualitative efficiency improvement for users in actual operations. In the future, the RDS system will continue to explore more possibilities of technology integration, focusing on creating an easier-to-use and more efficient robot dispatch system.

RDS System New Upgrade! Innovative Integration of 2D Robot Visualization Features

<div class="media-wrap embed-wrap"><div><iframe width="850" height="450" src="https://www.youtube.com/embed/LC9ZhEWkMZ0?si=i1FeWF7B8CBG6fXd" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div></div> In a corner of a giant construction machinery factory, the digital big screen has become a powerful assistant for employees&#x27; efficient operations. The 3D robot visualization map, Meta-Map Pro, on the digital big screen is composed of two major sections: On both sides, an overview of the execution status of all key business operations is provided, with multidimensional data vividly presented through graphical charts.; at the center, it presents real-time dynamic three-dimensional factory scenes with 1:1 high-precision restoration. The dynamic screen focuses on specific areas, accurately reproducing the movements of robots and tracking key production line trends. Switching to a wide-angle view, the entire factory landscape is within grasp, with multidimensional data assisting business decisions. Efficient digitalization boosts factory production efficiency, achieving digital, lean, and integrated management of intelligent factory equipment. Project Background As a leader in the construction machinery industry, the company has always maintained a benchmark position in the in-depth advancement of the new industrialization wave, continuously developing in the direction of digitalization, networking, and intelligence. With the introduction of a large number of intelligent devices, the number of robots in the factory continues to increase, spread across various equipment production lines. The factory covers a large area, with dispersed and complex production lines. How to comprehensively monitor production and robot status on the production lines, and to promptly learn about malfunctions and other unexpected situations, has become the factory&#x27;s top priority. Project Plan In response to the factory environment and actual needs, SEER Robotics&#x27; 3D robot visualization map, Meta-Map Pro, has customized a combined solution of a Factory Overview Screen and a Production Line Focus Screen for it. This solution not only allows for intuitive monitoring of the entire factory but also focuses on specific equipment production lines. The multi-combination mode perfectly accommodates the use needs of customers in different scenarios, such as business monitoring and commercial reception. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/6747defb956162003a6e00ce.png" width="850px" style="width:850px"/></div> The Factory Overview Screen presents a thumbnail view of the entire factory, with overall business data charts on both sides, which can effectively address the challenges of comprehensive monitoring in large factories and the retrieval of robot-related data. The Global Screen monitors the distribution and status of robots in real-time, displaying the correlation between various production lines, allowing users and visitors to quickly understand the factory environment and business layout. The overall business data charts can quickly identify the location of robot errors and key information, enhancing the practicality of the visualization screen and assisting in business decision-making and reporting.The Production Line Focus Screen precisely presents specific business production lines, with data charts for the current production line on both sides, effectively addressing the challenges of real-time production line monitoring and the difficulty of explaining complex production lines. The Focus Screen concentrates on the business status monitoring of a single equipment production line, allowing users and visitors to deeply and intuitively understand the current production line&#x27;s business processes and logic. Real-time data on both sides of the production line can assist managers in making quick and accurate business decisions, achieving efficient digital management. Project Highlights 1、Full 3D visibility of the factory, real-time monitoring for enhanced production efficiency Using 3D technology to accurately 1:1 replicate the factory environment, the once cumbersome and scattered production line dynamics, robot statuses, and task chains become clearly visible. Users can check the status of equipment and production lines at any time, providing macro and comprehensive business support and greatly improving production efficiency. 2、Real-time multidimensional data assistance improves decision-making, reporting, and management efficiency The digital big screen provides monitoring data for the entire factory&#x27;s production and key production lines, allowing real-time visibility of the status of production lines and robots. It offers users accurate and intuitive digital support, enabling efficient execution of business decisions and the organization of business summary reports, thereby enhancing management efficiency. 3、Reshaping the new image of smart factories, comprehensively accelerating the construction of digital intelligence The perfect fusion of intelligence and digitalization enables the visualization of smart factories, comprehensively monitors and optimizes production management internally, and presents an emerging model for external visits and displays.Comprehensively enhance the brand image of corporate technology innovation and digital intelligence construction.

How to centrally control equipment and production lines? Meta-Map Pro reveals the secrets to mastering the digital intelligence of the entire factory.

As consumer demands for food safety and quality increase, along with a continuous recovery in consumer demand, the cold chain market is showing a steady upward trend. According to the &quot;China Cold Chain Logistics Development Report (2024 Edition),&quot; in 2023, China&#x27;s cold chain logistics market size has exceeded 500 billion yuan, accounting for about 25% of the global share; the total demand for cold chain logistics is about 350 million tons, a year-on-year increase of 6.1%; the total volume of cold storage has increased to 228 million cubic meters, a year-on-year increase of 8.3%. The main regions for cold chain storage demand are first and second-tier cities and coastal developed areas in North China, East China, and South China, as well as central city circles in Sichuan, Henan, and other central and western regions; places like Jiangxi, Henan, Hubei, and Guangxi have seen a large increase in the volume of new cold storage, and the trend of upgrading cold chain services and infrastructure is steadily expanding to second-tier cities. Traditional cold storage operations heavily rely on manual labor, which not only poses a threat to human health but also limits the work efficiency of the cold storage and the guarantee of product quality. With the popularization of intelligent technology and the expansion of cold storage scale, the transformation of cold storage operation mode has become a consensus in the industry development. Mobile robot technology, as the key to the automation of cold chain logistics, is gradually being introduced into cold storage, distribution centers, and other scenarios. Two major application challenges The strict temperature control requirements of cold chain logistics and the numerous types of goods pose higher challenges to the application of mobile robots. In summary, the application of mobile robots in cold chain warehousing logistics mainly faces the following difficulties: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/66b75dd98bfcd8003c14a0ff.jpg" width="850px" style="width:850px"/></div> 1.Low-temperature adaptability of core components In extreme low-temperature and large temperature difference environments, the laser, battery, and other core components of mobile robots are greatly tested, which is easy to cause damage, and the available capacity of the battery in ultra-low temperature will also decrease, the charging and discharging power is limited, affecting the battery life. The water vapor and ice fog formed by the cold storage and the temperature zone are prone to interfere with the laser radar, affecting the accuracy of navigation; the areas entering and leaving the cold storage are mostly slippery ground, and the movement of mobile robots is prone to skidding, affecting the accuracy of navigation and work efficiency. 2.Non-standard complexity of warehousing logistics The goods involved in the cold chain scenario have characteristics such as a variety of types, different sizes and weights, rapid turnover, and seasonal demand fluctuations. Coupled with the complex and diverse cold chain environment, it puts forward higher requirements for the flexibility and adaptability of the overall warehousing logistics management. How does SEER Robotics solve it? 1.One-stop vehicle manufacturing: Low-temperature resistant mobile robots SEER Robotics provides a one-stop vehicle manufacturing solution based on the SRC controller, supporting the autonomous manufacturing of mobile robots according to specific scene needs. The following is the vehicle manufacturing module selection plan for the low-temperature resistant mobile robot. The core controller can choose the entry-level controller SRC-880 of SEER Robotics and the safety controller SRC-3000FS, both of which support use in the temperature range of -30~55℃ and can adapt to the cold storage working environment, helping customers to quickly and at low cost manufacture mobile robots suitable for the cold storage environment for internal handling and picking in cold storage. In the vehicle platform module, the vehicle body structure selects high-strength low-temperature resistant materials to ensure good mechanical performance and structural stability at low temperatures; the surface of the vehicle body can be treated with anti-corrosion and waterproofing to prevent moisture and condensation in the cold storage from damaging the vehicle body. Multiple measures ensure the long-term reliable operation of mobile robots in the cold storage environment. <div class="media-wrap image-wrap align-center" style="text-align:center"><img size="1" _root="[object Object]" src="//cdn1.seer-group.com/static/66b75f8c8bfcd8003c14a100.png" width="850px" style="width:850px"/></div> In terms of perception modules, low-temperature resistant, heating-enabled laser products can be selected to ensure normal operation in low-temperature environments. The heating function can not only defog but also reduce the impact of water vapor and ice fog on the performance of laser sensors, ensuring the reliability of the navigation and obstacle avoidance system of mobile robots at low temperatures. In addition to ordinary heating measures, SEER Robotics has specially designed an &quot;Intelligent Environmental Adaptation System&quot; that can automatically adjust environmental conditions through intelligent judgment of scenes and temperature change trends, to eliminate water fog and frost on the laser emission surface, ensuring the efficient operation of laser sensors in low-temperature environments and improving the navigation and obstacle avoidance performance of mobile robots. In terms of energy modules, low-temperature special edition batteries are selected, which support operation and charging in low-temperature environments, ensuring that mobile robots can continue to work under extreme low-temperature conditions. The high efficiency and reliability of low-temperature special batteries greatly improve the work efficiency and operating time of mobile robots, providing a solid guarantee for special environment applications such as cold storage. In terms of external device modules, anti-slip devices can be added to mobile robots, increasing the grip of the tires, and combining special materials and designs to improve the stability of mobile robots when running on slippery ground. In addition, relying on the slip detection and slip correction function of the Inertial Measurement Unit (IMU) of the SRC controller, the advanced algorithm reduces the impact of slipping, ensuring the accuracy and stability of mobile robots in various environments. In terms of other electrical components, the wiring and electrical components inside the vehicle body can use special materials designed specifically for low-temperature and condensation environments. These materials have undergone tests including low-temperature resistance, performance evaluation in condensation environments, and long-term operation reliability tests, which can effectively ensure stability and reliability in extreme environments. 2.Intelligent Brain: M4 Intelligent Logistics Management System The M4 intelligent logistics management system of SEER Robotics integrates fleet management (FMS/RCS), logistics equipment management (WCS), warehouse management system (WMS), and multiple solutions in one, supporting robot management, order distribution, route planning,automated equipment management, warehouse entry and exit management, inventory management, etc., which can help enterprises efficiently manage automated warehousing logistics with mobile robots as the core, truly achieving automated logistics upgrades. At present, the mainstream mature WMS systems on the market mostly cannot fully fit the intelligent warehousing logistics equipment of factories, because these systems are more developed based on manual processes. M4 takes mobile robots as the core, focusing on the integrated management of intelligent equipment warehousing logistics, which is more in line with the intelligent warehousing logistics management needs of high-standard cold storage. M4 mainly targets the production and manufacturing industry scenes, fully supporting various material management, multi-dimensional inventory management of manufacturing enterprises, and providing a low-code business system, which allows customers to easily arrange business processes according to actual business conditions. The M4 strategy and algorithm level have also been further optimized to better adapt to actual production, providing basic shelf strategies, batch out strategies, minimum sorting out strategies, forced whole out strategies, automatic empty container out strategies, and material box garage mouth warehouse selection strategies, etc., to easily cope with the variability and non-standard problems of the cold chain scenario. 3.Panoramic Control: Robot Visualization Map The SEER Robotics robot visualization map includes 2D and 3D visualization products, which provide multi-dimensional robot task-related data by highly restoring the factory scene, and achieve monitoring and management of intelligent equipment in the factory. Through the robot visualization map, panoramic control of the cold storage interior can be achieved, real-time monitoring and tracking of the movement of mobile robots in the cold storage, and monitoring of temperature, humidity, and other parameters in the cold storage, as well as the status and quantity of goods, truly achieving unmanned intelligent management of the cold storage.

Intelligent Breakthroughs Under Low-Temperature Challenges: Deconstructing SEER Robotics' Cold Chain Industry Solutions

Based on the SRC controller, SEER Robotics, in collaboration with partners, provides a standard intelligent forklift product line that includes four types: pallet truck, stacker, counterbalance, and single-fork arm. These can be used in scenarios such as unmanned loading and unloading, production line docking, warehouse area transfer, cage stacking, high-level storage and retrieval, and multi-vehicle scheduling, covering mainstream industries such as automotive, 3C electronics, heavy machinery, textiles, and logistics. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/66ac4c376a42b5003bd73485.png" width="850px" style="width:850px"/></div> When facing more non-standard and complex needs, SEER Robotics offers a one-stop vehicle manufacturing solution based on the SRC controller as the core, helping integrator customers to manufacture intelligent forklifts at low cost and with high efficiency according to actual needs. This article will focus on the two major units of core control and obstacle avoidance kits, and sort out how to select forklift components, making the manufacturing of intelligent forklifts accessible. Forklift-specific controller, precise focus Compared with lifting robots, the internal structure and end application scenarios of intelligent forklifts are more diverse and complex, so intelligent forklifts have higher requirements for the performance and stability of the control system. SEER Robotics has two controllers specifically for manufacturing intelligent forklifts: the intelligent forklift special edition controller SRC-2000-F(S) and the intelligent forklift safety controller SRC-3000FS (forklift version), which are excellent in terms of specificity, high performance, stability, and flexibility, effectively meeting the diverse needs of intelligent forklifts in complex application scenarios. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/66ac842b50399e003ae36647.png" width="850px" style="width:850px"/></div> Tailored for forklift-specific use: Integrated with various forklift-specific functions, precisely matching the advanced needs of pallet trucks, stackers, counterbalances, and three-way forklifts. SRC-2000-F(S) is mainly used for general-purpose forklifts, and SRC-3000FS (forklift version) is used for safety forklifts. Computational upgrade and strong performance: The RBK software architecture upgrade, hardware heterogeneous acceleration, comprehensively improve the computing power of hardware and software, providing double the powerful computing power, high-performance computing capabilities, high concurrency, low latency, easily coping with complex environments, and supporting more powerful forklift business scenarios. Intelligent positioning and navigation control: Using the industry-leading positioning and navigation technology, it can achieve ±2mm high-precision positioning and navigation, with multi-vehicle precision maintaining high consistency, ensuring that forklifts still operate accurately in complex environments. Rich interfaces for secondary development: Provide API interfaces such as TCP/IP, Modbus, and script development environments, for independent secondary development according to specific needs, to meet customers&#x27; non-standard requirements. Obstacle avoidance kit selection analysis The obstacle avoidance kit consists of obstacle avoidance lasers and safety mechanical devices. Laser sensors detect obstacles without contacting them and avoid collisions to ensure safety; safety mechanical devices respond after contact with obstacles to prevent further deepening of unsafe factors. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/66ac8346d10181004364c54e.png" width="850px" style="width:850px"/></div> 2D obstacle avoidance laser: Can provide high-precision two-dimensional obstacle detection, can be used with navigation lasers, and have an effective perception range, but can only detect obstacles on a single plane. Due to its relatively low cost, it is the preferred choice for many indoor applications. 3D obstacle avoidance laser: Compared with 2D lasers, although the cost is higher, its three-dimensional perception ability has a stronger advantage in complex environments, providing a more comprehensive three-dimensional environmental perception, and can also be used with navigation lasers, suitable for various indoor and outdoor scenarios. 3D obstacle avoidance camera: Can be used with the vehicle recognition camera, integrated with the SEER Robotics AI adaptive algorithm, can achieve precise recognition of objects in 3D space. Although the field of view is limited and the cost is higher, its high precision and AI deep learning ability can provide stronger business support for forklift operations. Distance sensor: Compact in size, can accurately detect the distance of obstacles at the fork tip of the forklift, but there is a large blind area, usually the detection range is 0.15-0.8m; in the same space, the light from other sensors will form a strong interference, and it is also necessary to avoid outdoor strong light environments, mainly used for areas such as the fork tip where obstacle avoidance lasers and cameras cannot effectively cover. Ultrasonic sensor: Can detect transparent objects such as glass and transparent film, but there is a situation of easy mistriggering, and it may be interfered with in a multi-vehicle environment, mainly suitable for scenes with glass doors or transparent obstacles. Proximity/photoelectric switch: Has stronger stability, can respond quickly after collision, but can only detect obstacles after actual contact, mainly used for the fork tip collision detection area. Crash guard: A mechanical obstacle detection device, with the characteristics of fast response and high stability, also can only detect obstacles after collision, and is relatively fragile and easy to damage, mainly used for the front bottom range of the forklift. At present, SEER Robotics has achieved full linkage of the mobile robot industry chain, successfully completed adaptation with more than 90% of the mainstream sensor and driver component manufacturers on the market, and continues to add to the adaptation list. The above obstacle avoidance kits have been fully covered in the SEER Robotics component library, committed to providing customers with comprehensive vehicle manufacturing support.

How to choose core components for low-cost, high-efficiency autonomous forklifts?

In order to enhance ultimate benefits, factories are stacking more and more shelves and piling higher and higher goods, leaving less and less operational space for forklifts. Traditional forklifts with their wide body and large turning radius have gradually exposed many drawbacks in dense storage environments: narrow operating space, prominent safety issues in mixed human-machine scenarios, and cumbersome deployment and application of forklifts, etc. To solve the above problems, SEER Robotics, based on the ecological partner Linde vehicle body, has released a new high-quality laser SLAM stacker intelligent forklift SFL-CDD15, the strongest king in narrow aisle applications. <div class="media-wrap embed-wrap"><div><iframe width="850" height="450" src="https://www.youtube.com/embed/dxEdJPCOh98?si=ffvVk3iVS4sr883Z" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div></div> The SFL-CDD15 is equipped with the SEER Robotics SRC mobile robot controller inside, which uses laser SLAM navigation technology for more flexible on-site application; it supports AI adaptive recognition and fork-lifting, efficient and stable handling and transportation; and it has further extended in terms of application scenarios and adaptability, which can not only flexibly dock with the production line to meet the transfer operations of the line-side scene, but also supports flat transportation in the warehouse area, and stacking on high shelves, etc. Why choose SFL-CDD15? The SFL-CDD15 is built on the Linde vehicle body, with an internal SEER Robotics SRC controller, and the product competitiveness is at the next level. SEER Robotics provides core module support, and based on the SRC controller, more advanced functions can be realized, such as pallet stacking and unstacking, cage stacking, high-shelf pallet recognition, etc., making the SFL-CDD15 have no threshold in on-site application and improving application adaptability. Linde, as a top global forklift manufacturer, focuses on the design and manufacturing of various forklift models, and the use of Linde vehicle bodies brings higher quality assurance to the whole vehicle. The vehicle body is highly integrated, with modular electrical design, and the vehicle wiring and structure have been greatly simplified, which is convenient for functional expansion and maintenance. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/66a73ff150399e003ae36645.png" width="850px" style="width:850px"/></div> The SFL-CDD15 provides flexible customization services, accurately matching customer scene needs, and the vehicle body shape provides LOGO, fork customization, fork height customization of 2344mm, 2924mm, 3244mm, fork width customization of 555mm, 600mm, 680mm; the internal software level also supports selection according to actual needs, and the advanced functions supported by the SRC controller are all available for optional configuration. Focusing on narrow aisle scenarios to improve space utilization When carrying out goods handling operations in narrow warehouse channels, if the forklift is too large, it is difficult to operate flexibly, which not only increases the difficulty and risk of the operation but also limits the space utilization rate of the warehouse. The SFL-CDD15 focuses on the customer needs of narrow aisle scenarios and can easily handle and transport goods in narrow channels stably. The body is slender, with a width of 1128mm, which can easily enter the elevator, and the minimum turning radius is 1329mm, which can flexibly walk and turn in narrow channels.<div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/66a73c4450399e003ae36643.gif" width="850px" style="width:850px"/></div>SFL-CDD15 turning, minimum turning radius 1329mm The slender body design of the SFL-CDD15 not only improves the flexibility of the site but also reduces the area occupied by the channel, saving more space and effectively improving the space utilization rate of the warehouse, allowing customers to store more goods in limited space. AI adaptive, solving the problem of load recognition In factories, not only are the types and colors of loads diverse, but the environment in which the loads are located is also very complex. When the forklift is accurately recognized, it will face many problems: the load is easily affected by lighting changes, cloudy foggy weather factors; the shape of the load is easily affected by different degrees of damage or other foreign packaging, etc. Under the above possible influencing factors, how can we ensure that the forklift can accurately recognize and fork the load? <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/66a73cfb50399e003ae36644.gif" width="850px" style="width:850px"/></div> SEER Robotics has integrated AI algorithms into the intelligent forklift system, which does not require manual input of load information by people. The forklift automatically inputs related information through a 3D depth camera, and then through AI learning analysis and decision-making, it recognizes the spatial posture of the load and intelligently plans the fork path. Human-computer interaction scenarios, safety and efficiency coexist Although the SFL-CDD15 as an intelligent forklift does not require manual participation, most factories are not fully intelligent, and there is still a large amount of manual work in the forklift application scenario. In a large number of human-machine mixed scenarios, the SFL-CDD15 has achieved all-round safety protection from the aspects of safety accessories and scheduling software. The SFL-CDD15 is equipped with a 3D obstacle avoidance camera that can sense the surrounding environment in real-time, scan items within a distance of 0.2~5m, and achieve depth data measurement of objects within this range, intelligently recognize obstacles, production equipment, and staff, and automatically avoid obstacles to ensure overall safety. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/66a73da2d10181004364c54a.gif" width="850px" style="width:850px"/></div> The unified resource scheduling system RDS uses the global multi-vehicle joint scheduling (G-MAPF) algorithm. In the face of arbitrary topological structures and scenes with arbitrary human interference, it carries out multi-robot path search and traffic control through dynamic global collaborative planning, which can effectively avoid congestion, timely prevent and resolve deadlocks, and ensure safety while optimizing the overall operational efficiency. Ultra-long endurance + fast battery replacement, say goodbye to power anxiety As an important logistics tool in the factory, the battery endurance of the forklift directly affects the overall work efficiency. The SFL-CDD15 has solved the power anxiety problem faced by customers with its excellent endurance performance and fast battery replacement design. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/66a73e34d10181004364c54b.gif" width="850px" style="width:850px"/></div> No matter in the dense warehouse shelf area or in the continuous operation production line side, the SFL-CDD15 can work continuously for 10 hours in a full power state, and the extendable charging head can automatically charge when the power is low; and it supports 3 minutes of fast replacement of new batteries. Even in high-intensity and long-term work, the SFL-CDD15 can quickly return to a full power state, ensuring the continuity and high efficiency of the work.

Who is the optimal solution for narrow aisle applications?

"SRC Vehicle Library | New Launch in the Intelligent Forklift Series, the Ultimate Multidimensional Logistics Tools."

Recently, SEER Robotics has joined forces with its ecosystem partners to launch a brand new mobile robot chassis, the AMB-CSW04-KJ, based on the SRC controller. This new platform offers an efficient and convenient general-purpose vehicle manufacturing platform for car manufacturers with manufacturing and design capabilities. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/666ff7e5d10181004364c520.jpg" width="850px" style="width:850px"/></div> The AMB-CSW04-KJ is equipped with SEER Robotics&#x27; entry-level controller, the SRC-880, and continues the family design language of SEER Robotics. It has outstanding performance in terms of appearance size, product performance, and applicability, capable of adapting to more non-standard upper equipment needs of robots. It can be flexibly combined and applied to different industries and scenarios, with unlimited potential, further simplifying the car manufacturing process, shortening the car manufacturing cycle, and making it more worry-free for car manufacturing customers. As a cost-effective general-purpose vehicle manufacturing platform in the ten-thousand-yuan class, the AMB-CSW04-KJ is an excellent partner for customers to manufacture various types of mobile robots. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/666ff8acd10181004364c521.jpg" width="850px" style="width:850px"/></div> Industry-leading, ±2mm positioning accuracy The AMB-CSW04-KJ supports laser SLAM, QR code, and reflective board hybrid navigation, which can be matched with the corresponding navigation scheme according to the scene requirements, meeting the needs of different application scenarios, such as warehouse handling, warehouse area transfer, line-side delivery, and in and out of the warehouse, etc. Based on SEER Robotics&#x27; world-leading laser SLAM navigation technology, the AMB-CSW04-KJ can achieve an industry-leading repeat positioning accuracy of ±2mm, with excellent consistency, far exceeding similar products in the industry, meeting high-precision positioning needs. <div class="media-wrap video-wrap"><video controls="" class="media-wrap video-wrap" src="//cdn1.seer-group.com/static/6687a2606a42b5003bd7346a.mp4"></video></div> Smaller size, stronger load The AMB-CSW04-KJ has a rated load of 400kg, with a vehicle size of 810545228mm, easily handling narrow passages. With the same compact vehicle size, the load capacity has been increased by more than 1.6 times, which can meet the needs of more types of upper equipment applications and be more widely used in non-standard handling scenarios. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/666ffa32d10181004364c522.jpg" width="850px" style="width:850px"/></div> 360° Protection, Safety Assured The AMB-CSW04-KJ achieves 360° protection for the entire vehicle, with dual front and rear laser configurations as standard, the front navigation laser has a maximum detection range of 40m, and the rear obstacle avoidance laser has a maximum detection range of 25m; equipped with contact collision strips at the front and rear, which stop immediately upon contact; the front of the vehicle supports optional 3D obstacle avoidance camera components, which can detect potholes and obstacles, providing comprehensive safety protection through multiple measures. <div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/668b9b908bfcd8003c14a0dc.png" width="850px" style="width:850px"/></div>The AMB-CSW04-KJ supports 360° safety protection One chassis for multiple applications, unlocking more non-standard scenarios The installation surface of the AMB-CSW04-KJ is only 185mm from the ground, and the superior vehicle design meets the needs of more non-standard upper equipment such as lifting, rollers, mechanical arms, hidden traction, and gimbals. It is the preferred product for flexible expansion, with more flexibility and ease of use in practical applications. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/666ffa786a42b5003bd73458.jpg" width="850px" style="width:850px"/></div>The AMB-CSW04-KJ supports rapid adaptation to self-developed upper equipment components of SEER Robotics.

"Product Introduction | Flagship General Platform AMB-CSW04-KJ, the Preferred Choice for Flexible Expansion"

SEER Robotics' new AMR localization solution - 3D NFL (NATURAL FEATURE LOCATION) is way ahead of the industry! 

With the rapid development of the mobile robot industry, the application of different brands and different types of mobile robots in the factory is becoming more and more common, but the scheduling system between the brands is not unified, and the interface specifications are different, resulting in the unified control of the mobile robot scheduling, and the factory faces a series of challenges such as multiple debugging of the mobile robot, path setting, and safe operation. Multi-brand mobile robot mixed scheduling needs to be solved, and VDA5050 protocol came into being. 👏What is the VDA5050 Protocol? The VDA5050 protocol is a standard interface for mobile robot (AGV/AMR) communication developed by the German Automotive Industry Association (VDA) and the Material Handling and Internal Logistics Association (VDMA). The communication interaction process is realized through the MQTT standard message protocol. The VDA5050 protocol is designed to standardize the communication standards between mobile robots and the scheduling system (master control), so that different brands and different types of mobile robots can be seamlessly integrated in the same scheduling system, achieve mixed scheduling and collaborative work, and accelerate the development of the mobile robot industry to standardization and efficiency. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6606835d50399e003ae365a9.png" width="850px" style="width:850px"/></div> It is reported that the VDA5050 protocol was released as early as 2021, and the 2.0 specification was introduced the following year, which has become a widely adopted communication standard interface in the European mobile robot industry, and supporting the VDA5050 protocol has undoubtedly become an important competitive advantage and admission ticket to enter the European market. 👏SEER Robotics Series SRC Controller Adapts to VDA5050 After multiple technology development and testing, SEER Robotics SRC series core controllers have been fully adapted to the VDA5050 protocol to ensure perfect compatibility between the custom protocol and the VDA5050 protocol, which can support scheduling based on the VDA5050 protocol. It also supports other brands to customize the scheduling of the original protocol. Based on this, the mobile robot equipped with SRC controller can seamlessly access the same scheduling system with other brand models, and achieve unified management and mixed scheduling under the support of VDA5050 protocol. The VDA5050 protocol provides the basis for unified scheduling, but given the uniqueness of each brand of mobile robot, simply following the specifications of the VDA5050 protocol is not enough to fully exploit its maximum advantages. Based on the SRC controller, SEER Robotics can provide partners with customized protocol requirements and extended protocols to help them fully leverage the uniqueness and flexibility of their products, which has been successfully applied in several partner customers. 👏Hand In Hand With The AMR Manufacturer, SRC Controllers Help The Mixed Field Scheduling SRC controller is a universal controller designed for mobile robots, in addition to the control of automatic charging piles, automatic doors, elevators, traffic lights and other factory automation equipment, all smart equipment equipped with SRC controller, can be concentrated in a unified scheduling interface framework, to achieve unified intelligent management and automation expansion of the whole plant. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/660683ca6a42b5003bd733ee.png" width="850px" style="width:850px"/></div> By the end of 2023, driven by SEER Robotics&#x27; &quot;One brain ( SRC + Software ), one chain ( Mobile Robot Ecosystem )&quot; product strategy, SRC controller has helped more than 800 AMR manufacturers to independently build their own brand mobile robots, and the mobile robot model library based on SRC controller has more than 100 models. It covers a variety of brands, types, navigation methods, sports modes, etc.

With the rapid development of the mobile robot industry, multi-brand mobile robot mixed scheduling needs to be solved, and VDA5050 protocol came into being. 

SEER Robotics Adapts To The VDA5050 Protocol And Supports Multi-brand And Multi-model Mixed Scheduling 

Safety has always been a key topic in the field of mobile robots. SEER Robotics attaches great importance to and strictly controls the safety factors of the whole series of products, takes safety delivery as the top priority, and provides customers with excellent quality product portfolio of 「controllers + AMRs combination + digital software」,relying on the 「One Core (SRC+Software), One Chain (mobile robot ecosystem)」. To create new value for customers, so that help them to build their own AMR fleet within days. This year, SEER Robotics further enriched its safety product line by launching the safety lifting up handling robot AMB-1000JS, which was put into use in April and won the favor of many European customers when it was exhibited at Hannover Messe in Germany. At present, the safety product line of SEER Robotics has successfully covered four standard products: mobile robot controllers, AMR chassises, autonomous forklifts and lifting robots. <div class="media-wrap embed-wrap"><div><iframe width="850" height="450" src="https://www.youtube.com/embed/MXEdcI1HPnA?si=86X9XjKMFY1HQlB7" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></div></div> At the beginning of its development, AMB-1000JS strictly adhered to the core design principles of safety and stability, integrated the past lifting robot application scenarios, from hardware equipment, software debugging, safety functions and other aspects of the implementation of business risk factor assessment and testing, to ensure that in various operating situations, AMB-1000JS can provide safe and reliable services. To meet the needs of various application scenarios. CE certification, security guarantee All safety features of AMB-1000JS are designed according to ISO 13849-1 standard, and the product has passed CE certification, including MD Mechanical Safety Directive, RED Radio Safety Directive, EMC Electromagnetic Safety Directive. As a recognized entry threshold of the European Union, CE certification has strict regulations on the safety and reliability of products. Obtaining this certification marks the further improvement of the competitiveness of SEER Robotics products in the European market. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6583e24c2a775a003c259ae3.png" width="850px" style="width:850px"/></div> Among them, the MD Machinery Safety Directive adopts the EN ISO3691-4:2020 standard, which is known as one of the most rigorous and comprehensive safety standards in the European Union. The standard makes more detailed scene classification and specific quantification requirements in the evaluation dimension, and the safety level requirements are upgraded to performance level. AMB-1000JS battery has passed UN38.3 certification, which is the relevant provisions formulated by the United Nations for the transport of dangerous goods; It has also passed the CNAS certified air and sea cargo transportation conditions appraisal report to ensure the safety of battery transportation. Safe lifting, multi-dimensional protection AMB-1000JS has safety design in the external fuselage device and internal software algorithm to maximize the safety of the robot. The safety system of AMB-1000JS is mainly controlled by the safety controller SRC-3000FS, which regulates the input and output of safety-related functions, and forms a safety loop with safety laser, safety encoder, safety emergency stop button, drive motor and other components to realize the control safety of mobile robot and ensure the safety of the working environment of mobile robot. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6583e2a134f40f003dc7a417.png" width="850px" style="width:850px"/></div> AMB-1000JS is equipped with two SICK nanoscan3 Core safety lasers, which support 360° omnidirectional perception, avoid obstacles without dead corners, detect up to 40 m, and reach a height of 175 mm. Internally, based on SEER Robotics SLAM algorithm, the AMB-1000JS can automatically plan deceleration and stop obstacles, and report the blocking light belt as purple. When people or obstacles appear in the laser protection area, the robot will enter the protection stop state until the protection area becomes clear and can continue to operate. When the operating speed is greater than 1 m/s, the laser safety range is large, and the brake will start to stop when it is far from the obstacle, if it is less than 1 m/s, the range is small, and the brake will stop when it is close. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6583e2d52a775a003c259ae4.gif" width="850px" style="width:850px"/></div> AMB-1000JS synchronously configures SICK security encoder to achieve accurate perception, positioning, operation and control. The safety encoder supports stability function, speed monitoring and protection function, which can ensure that the robot can immediately enter the protection stop state when there is an anomaly, and cannot be driven. AMB-1000JS is also equipped with safety emergency stop button and warning light, audible warning and other safety devices, in the event of an emergency, the staff can be informed and handle the anomaly in time. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6583e2fc34f40f003dc7a418.png" width="850px" style="width:850px"/></div> SEER Robotics always puts product safety in the first place, and is committed to providing global users with high-quality, safe and reliable intelligent logistics complete solutions to help the global intelligent logistics upgrade.

What are the characteristics of a safety lifting robot? 

For a long time, the 3C industry has been one of the main forces in the downstream application of mobile robots. Despite the continuous emergence of various emerging strong industries, but in terms of the number of mobile robot applications, the 3C industry is still not to be underestimated. With powerful and easy to use mobile robot controller and system software, as well as a huge partner model library, complete mobile robot industry chain ecology, professional services and perfect knowledge base, SEER Robotics has launched hundreds of benchmarking projects in the 3C industry, winning the trust and recognition of customers. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/657ae8c98620330044815135.png" width="850px" style="width:850px"/></div> In the early stage, with the transformation of labor-intensive industries to intelligent industries, the demand for mobile robots in the 3C industry has increased sharply. 3C industry products have short cycle, diversified characteristics, high requirements for the flexibility of the production line, mobile robots based on automation Settings, can flexibly adapt to the rapid change of 3C products, improve production efficiency. At present, the 3C industry is a huge market dominated by the battle for stock, and the innovative application of mobile robots has also brought new vitality to the 3C industry. The high scalability of mobile robots provides powerful convenience for the intelligent upgrade of 3C industry.Through close cooperation with other automation equipment in the factory, mobile robots can easily build a complete intelligent production line and realize the full automation of the production process; In addition, mobile robots support digital management mode, docking with customer ERP, MES and other business systems, so as to facilitate enterprises to optimize production, accurately control the production rhythm, and promote the digital transformation and upgrading of the factory. 「Two-way empowerment, collaborative upward」is the best interpretation of both mobile robots and 3C industry. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/657ae8f6b6efe1003bfdcdbd.png" width="850px" style="width:850px"/></div> The picture above shows the upper, middle and lower reaches of the 3C industrial chain, in which the application of mobile robots has deeply penetrated into various subdivisions of the 3C industry, and runs through the logistics link of the entire 3C manufacturing process. SEER Robotics has realized the automation and intelligence of the handling, assembly, storage, sorting and other links of raw materials, products in process, and finished products. The intelligent logistics solution of the 3C industry contains a complete portfolio of hardware and software products. At the software level, we provide RDS unified resource scheduling system, MWMS warehouse distribution integration system, visual series of products, covering from robot scheduling to finished product warehousing, logistics and then to robot panoramic monitoring and other links, all software fully combined with mobile robot design, from the core layer to support mobile robots and other intelligent equipment, open up the seamless connection between hardware and software, intelligent logistics is more efficient. At the hardware level, SEER Robotics provides a mobile robot model library based on SRC controller, including latent lifting robot, omnidirectional lifting robot, rotary lifting robot, ground forklift truck, stacking forklift truck, counterweight forklift truck, tank robot, composite robot, roller robot and other diversified mobile robot products. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/657ae92fcc94a9003cc48939.png" width="850px" style="width:850px"/></div> For different scenes in the production link of the 3C industry, SEER Robotics will start from the three major scenes of raw materials, products in process and finished products, analyze the pain points of the corresponding scenes and provide solutions. <h2 size="1" _root="[object Object]" __ownerid="undefined" __hash="undefined" __altered="false">Raw Materials</h2><h3 size="1" _root="[object Object]" __ownerid="undefined" __hash="undefined" __altered="false">Pain Points</h3>Raw material import and export logistics link due to the electronic components SKU, large amount, refueling、replenishment or line change frequently, high management difficulty, the operation process can not effectively prevent stay and prevent mistakes, once the manual error, the cost of remediation is very high, may lead to mass rework and long time stop line. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/657ae9c38620330044815136.gif" width="850px" style="width:850px"/></div> Solutions Based on MWMS warehouse distribution integrated system can reduce more than 90% manual operation, raw materials warehousing、picking or distribution can be automated, intelligent operation, effective anti-stay and anti-error. MWMS can be seamlessly connected with ERP, MES and other customer systems, business processes can be two-way traceability, effectively respond to production quality problems. Taking SMT production line of raw materials as an example, we can provide tray robot and modular shelf combination, which can increase warehouse capacity step by step according to production capacity demand, and ensure lower expansion cost through modular shelf setting. <h2 size="1" _root="[object Object]" __ownerid="undefined" __hash="undefined" __altered="false">Work-in-process Pain Points</h2> In the product workshop environment is diverse and complex, the past handling mode has left a large number of magnetic stripe cars on the site, the route is long, and the logistics channel for mobile robots is small and the working space is limited. The overall transformation cost is high and the cycle is long, too large changes may affect the production efficiency, and even the factory shutdown; Warehousing, warehousing, prolific line circulation, a variety of logistics handover links in the factory are complex, higher requirements for intelligent logistics. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/657aeb1a8620330044815138.gif" width="850px" style="width:850px"/></div> Solutions The jacking robot based on laser SLAM can realize the real trackless autonomous navigation, without special transformation of the site, the robot can walk and carry independently, seamlessly connect the workflow, and adapt to various production environments. SEER Robotics lifting robots support smaller size, thinner body and smaller blind area, and provide a one-stop AMR building solution based on SRC controller, which can manufacture more suitable mobile robots according to the site conditions. <h2 size="1" _root="[object Object]" __ownerid="undefined" __hash="undefined" __altered="false">Finished Product </h2><h3 size="1" _root="[object Object]" __ownerid="undefined" __hash="undefined" __altered="false">Pain Points</h3> Different types and specifications of goods in the finished product workshop can not be mixed and stacked, otherwise it will affect the production process and product quality.Based on traditional manual operation, it is difficult to identify and track goods, which is not only inefficient but also high cost, and difficult to guarantee production safety. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/657aea8dcc94a9003cc4893a.gif" width="850px" style="width:850px"/></div> Solutions In the stacking process, RoboView visual AI solution is introduced to identify the goods, ensure the stacking accuracy, distinguish the types of the pallet unloading end and the connection end, ensure that no mixing occurs, and improve the space utilization rate; Through RoboView to realize the identification of different pallets, accurately indicate the stacking of forklifts, to ensure production safety. MWMS warehouse distribution integration system can provide traditional warehouse business services and data management support for the factory, and can also manage various types of mobile robots and intelligent equipment, to achieve the integration of warehousing and distribution, and the integration of goods tracking process in the factory is smoother. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/657aeb8276bc51003d4ba98a.png" width="850px" style="width:850px"/></div> In this process, SEER Robotics provides stacking intelligent forklift truck and AMB chassis combination products, forklift truck can be used to carry out transfer, stacking operations, based on AMB chassis can be connected to different types of upper mechanism, such as roller, lifting, manipulator, latent traction, according to the actual business needs, matching the corresponding production line, reduce the cost of mobile robot manufacturing and selection. Improve the cost performance.

With powerful and easy to use mobile robot controller and system software, as well as a huge partner model library, complete mobile robot industry chain ecology, professional services and perfect knowledge base, SEER Robotics has launched hundreds of benchmarking projects in the 3C industry, winning the trust and recognition of customers.

Focusing on the 3C Industry, SEER Robotics Creates a Complete Intelligent  Logistics Solution 

In recent years, with the improvement of the level of automation, the application of mobile robots in the automotive industry has also shown a hot state, especially the auto parts, new energy batteries, third-party logistics and other tracks. However, the complexity and diversity of the automotive production process and the high degree of automation for safety demands have brought many challenges to the application of mobile robots in the automotive industry. In particular, security and stability are the primary concerns. In the complex and changeable environment of automobile factories, mobile robots need to be able to respond to various emergencies in a timely manner, have stronger adaptability and flexibility, and still be able to maintain normal work in a large number of human-computer interaction environments. In recent years, SEER Robotics has continuously explored the application of mobile robots in the automotive industry. Based on the experience of many integrators and car manufacturers cooperated with SEER Robotics, the application of mobile robots can be divided into three major fields: auto parts, auto Oems, and automotive logistics. First--Auto parts Automotive parts include powertrain, power battery system, chassis system, body system, automotive electronic equipment, tires, interior, charging pile and other subdivisions. The types of spare parts involved and the process links are complex, and mobile robots are widely used in material handling, assembly, testing and other links on the production line of auto parts factories, as well as in the storage management of auto parts, to improve the storage and retrieval efficiency of materials, and greatly improve the overall automation and intelligence of the factory. 「Automotive powertrain intelligent logistics solutions」 In the automobile gearbox production workshop, the lifting robot is carrying out the transfer and distribution work of blank, aluminum shell and other processing parts. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65727fe476bc51003d4ba988.gif" width="850px" style="width:850px"/></div> Program advantage Deep adaptation customization: Depending on the type of parts manufactured by customers and the containers used, SEER Robotics supports multiple customization options for the jacking robot, including load weight, body size, jacking stroke, and chassis motion mode. Universal rack identification: Navigation lidar can be used for rack leg identification, automatic correction can accurately drill into the rack, improve the success rate of loading. 「Automobile chassis parts production intelligent logistics solutions」 Automotive chassis parts production workshop, based on the unified resource scheduling system RDS, dozens of heavy-duty omnidirectional roller mobile robots distribute front and rear suspension, battery casings and other components between production lines. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/657280378620330044815131.gif" width="850px" style="width:850px"/></div> Program advantage Unified resource scheduling: RDS uses the mobile robot&#x27;s own storage position to form and manage material caches between production lines and coordinate production capacity fluctuations between previous and subsequent processes. Global dynamic cooperation: Fully consider the scheduling algorithm of the spatial attitude of multi-mobile robots, and carry out multi-robot path search and traffic control through RDS dynamic global collaborative planning, effectively coordinate the wrong vehicle and avoidance of large-size mobile robots on narrow roads, so that mobile robots can effectively avoid congestion and timely prevent deadlock. Pre-order to get rid of no-load anxiety: the pre-order mode is supported in the transportation link, and the waybill is assigned to the mobile robot that is about to end the task, and the transportation task is reasonably allocated to reduce the mobile robot&#x27;s empty speed. Second--the automobile main engine factory Automotive Oems include painting, final assembly, line feed and other subdivisions. The application of mobile robots is similar to the field of auto parts, and is mostly used to perform repetitive tasks, such as material handling, assembly, inspection, etc. It can also be used to perform dangerous work on the production line, such as welding, painting, etc., which not only improves the overall efficiency, but also guarantees the personal safety of workers. 「Intelligent logistics solution for auto Oems final assembly line」 On the assembly and final assembly lines of automobile O&amp;M, jacking robots and latent traction robots are carrying out SPS streamlined production vehicles or timely distribution of materials. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6572813dcc94a9003cc48935.gif" width="850px" style="width:850px"/></div> Program advantage Beat simulation and simulation of production: Obtain production line beat data, RDS can build beat simulation in 10 minutes, real simulation of production scenes, pre-schedule robots in advance, facilitate adjustment, evaluate the most accurate beat and the number of robots required, and achieve JIT just-in-time production and distribution. Automatic positioning and error correction: the environment of the assembly workshop has a large change rate, and the combination of natural contour positioning, feature positioning, dynamic map update and other functions is used to strengthen the positioning and error correction ability, and the repeated positioning accuracy can reach up to ±2mm, completely solving the problem of &quot;where did the robot go&quot;. Third--Automobile Logistics Automotive logistics includes Oems local warehouse, spare parts transfer warehouse, after-sales parts warehouse and other subdivisions. Mobile robots can be used for cargo transportation and loading and unloading work, based on autonomous navigation and intelligent path planning, can achieve fast, accurate and efficient delivery of goods, reduce logistics costs, and effectively solve the problem of manpower shortage. In addition, the mobile robot can achieve seamless docking with the warehouse management system, order management system, etc., opening up the last step, realizing real-time data sharing and collaborative work, making the whole process transparent and more controllable, and improving the intelligent level of automotive logistics. 「Auto parts warehouse intelligent logistics solutions」 In the warehouse of automotive logistics parts, the counterweight intelligent forklift truck is used for warehouse turnover, stacking and unstacking, and connecting to the port of the warehouse. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6572818eb6efe1003bfdcdbb.jpg" width="850px" style="width:850px"/></div> Program advantage Visual automatic recognition: Equipped with 3D camera, it can automatically identify and complete accurate fork picking of multiple types of pallets, and complete stacking and unstacking of accessories boxes based on Roboview visual guidance. Real-time storage location detection: Based on Roboview visual storage location management technology, real-time detection of storage location status and upload the unified resource scheduling system RDS, RDS according to whether the storage location is occupied, according to the preset logic automatic order, to achieve instant, flexible turnover and storage. With SRC controllers and digital software as the core, SEER Robotics and its mobile robot eco-partners continue to explore more intelligent logistics solutions for the automotive industry, providing end customers with efficient, complete and quickly replicable solutions.

In the context of the complex environment in 2023, the automotive industry has become one of the few areas with double year-on-year growth in revenue and profit, and its future forecast growth trend remains at a high level, and the derivative areas around the automotive industry are also regarded as the Promised Land for growth. 

In-depth exploration of the automotive industry，build your own ARM fleet within days!

The domestic and commercial types of cleaning robot market continues to prosper, and the cleaning robot market focusing on industrial scenes is also promising. Especially in the current factory environment with intelligent machines and equipment, cleaning work is no longer solely dependent on manpower, cleaning robots are gradually becoming the main force of cleaning in factories, workshops, warehouses and other places, to ensure 24-hour uninterrupted cleaning operations, not only improve cleaning efficiency, but also reduce labor costs, providing more powerful support for industrial production. Can it adapt to multiple ground environments? Can the whole cleaning process be automated and unmanned? Does it have multiple cleaning functions? Is the application easy to use? Is it safe enough? ... For these basic cleaning problems, SEER Robotics&#x27; latest laser SLAM cleaning robot, the SCL-AWG50, can easily solve them. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6571c209b6efe1003bfdcdb7.gif" width="850px" style="width:850px"/></div> In addition, for industrial cleaning scenarios, SCL-AWG50 highlights outstanding advantages, successfully breaking through the application limitations of traditional commercial cleaning robots, can be integrated into the factory robot scheduling system, with other types of mobile robots in the factory to work together, better understand the cleaning and operational needs of industrial scenes, and easily achieve automatic cleaning of industrial scenes. The whole work is unmanned, clean more efficient SCL-AWG50 has built-in SEER Robotics universal mobile robot controller SRC-2000, which provides the robot with core functions such as map construction, positioning and navigation, model editing, path planning, autonomous obstacle avoidance, etc. It can carry out integrated control of the robot and automatically plan the best clean path. And according to different scenarios and needs for real-time adjustment, support timing, fixed point, directional cleaning, automatic charging, adding water and sewage a series of actions, washing, pushing dust integration, to achieve the whole intelligent, unmanned cleaning. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65728d7eb6efe1003bfdcdbc.gif" width="850px" style="width:850px"/></div> The SCL-AWG50 is equipped with a high-performance 24V / 50AH lithium battery with long battery life, and supports up to 10 hours of operation in dust pushing mode and up to 4 hours of operation in ground washing mode. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65728d418620330044815132.gif" width="850px" style="width:850px"/></div> SCL-AWG50 also supports intelligent automatic recharge, when the power is low, it can automatically return to the charging area, replenish the power in time, only 1 h, SCL-AWG50 can be quickly fully charged, return to the working area, support breakpoint continued scanning, to ensure the continuity and efficiency of cleaning work. Better understanding of industrial scenarios, intelligent management Through the perfect cooperation of SRC controller and Unified Resource Dispatch System for Robots and Automation Devices「RDS」, factories can realize unified control management and scheduling planning for other smart devices with built-in SRC controller in the factory. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6571c395cc94a9003cc48932.gif" width="850px" style="width:850px"/></div> SCL-AWG50 can be integrated into the overall scheduling system of mobile robots in the factory, cooperate with other robots to plan the working time and path, and complete the factory cleaning work in a timely and efficient manner according to the actual situation and needs of the factory. Adapt to a variety of environments, all-round versatile Being able to adapt to the non-standard characteristics of the factory and compatible with a variety of ground environments is one of the core indicators to measure the performance of cleaning robots. After many field tests, the SCL-AWG50 has demonstrated excellent compatibility and strong cleaning power. According to different cleanliness requirements can choose different cleaning gear, ordinary stains or strong oil, cutting fluid stains can be done; Can adapt to a variety of soft and hard ground environment, such as marble, terrazzo, cement, epoxy floor, tile and other materials; It can also adapt to a variety of industry production environment, such as automobile manufacturing, 3C electronics, textile industry, machinery manufacturing and other industries. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6571c3e4862033004481512e.png" width="850px" style="width:850px"/></div> At the same time, the SCL-AWG50 has superior road adaptability, equipped with high-performance high-power motors, and first-class climbing ability, even when facing 8° slopes, it can also pass stably. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6571c47db6efe1003bfdcdb9.gif" width="850px" style="width:850px"/></div> Multiple protection guarantees, higher security Ensuring adequate safety is a key prerequisite for landing applications of cleaning robots. The SCL-AWG50 is equipped with the SEER Robotics component library product Furui H1E0 laser, which has a wider detection range of up to 40 m, effectively improving the environment awareness and recognition ability. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6571c516862033004481512f.png" width="850px" style="width:850px"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6571c4e6b6efe1003bfdcdba.png" width="850px" style="width:850px"/></div> In order to improve the overall safety, the SL-AWG50 adopts a full range of safety protection measures, the top is equipped with a 3D camera, the middle of the body is equipped with ultrasonic sensors, lidar, and the bottom is equipped with a safety touch side, 360° three-dimensional surround, obstacle stopping, obstacle avoidance, collision prevention and fall prevention. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6571c60076bc51003d4ba987.gif" width="850px" style="width:850px"/></div> Digital visualization, interaction more intuitive and convenient In order to facilitate the use of factory front-line operators, the SCL-AWG50 simplifies the interactive interface, the operation process is simpler, no complicated Settings, easy to learn and easy to use. At the same time, SCL-AWG50 greatly improves the degree of visualization, real-time upload of running data, visualization of data throughout the process, and more intuitive operation. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6571c8298620330044815130.gif" width="850px" style="width:850px"/></div> According to the forecast, by 2025, the domestic commercial cleaning robot market or will be likely to grow to nearly 100 billion yuan scale, but the current cleaning robot market penetration rate is less than 1%, in the foreseeable future commercial and industrial cleaning scenarios, robots will become the main force of widespread application, in order to stimulate the industry to accelerate penetration, one of the core is to improve product technology, To bring users a better experience. SEER Robotics insists on being customer-centric, and SCL-AWG50 not only pays more attention to user experience, but also greatly enhances cleaning performance and industrial characteristics, making it more focused and powerful.

The domestic and commercial types of cleaning robot market continues to prosper, and the cleaning robot market focusing on industrial scenes is also promising. 

SEER Robotics Cleaning robot SCL-AWG50: Focus on industrial scenes, one machine cleaning in place!

SEER Robotics&#x27; one-stop AMR building solution based on SRC controller plays an important role in the mobile robot manufacturing scene with the advantages of powerful functionality, super adaptability and integrated service, providing customers with all-round, efficient, flexible combination and cost-effective mobile robot manufacturing solutions. It has been successfully applied in 3C electronics, photovoltaic, lithium battery, auto parts, semiconductor and other industries, and has produced more than 100 different types of mobile robots, forming a rich and huge ecological partner model library. How to quickly build an adaptable, powerful mobile robot based on the SRC controller, taking the SRC-880 AMR building example in just eight steps. <div class="media-wrap video-wrap"><video controls="" class="media-wrap video-wrap" src="//cdn1.seer-group.com/static/6555aba69c2ae0003b6c8e79.mp4"></video></div> Modular design in just eight steps According to the overall configuration of mobile robots, SEER Robotics divides the components required for AMR building into four modules: core controller, perception module, execution module and energy module. SEER Robotics provides the most powerful brain controller for mobile robots, powerful performance + rich functions, laying the core foundation for AMR building, creating a variety of choices. The SRC-880 controller provides the perfect cost-effective solution for building the chassis, with the ultimate ultra-thin body, high integration to free up more space inside the body, and the newly upgraded dual-band high-power Wi-Fi 6 to double the signal coverage without the need for an external client. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/6555ae1a7f6a6c0041bc4bfa.png" width="850px" style="width:850px"/></div>

How to quickly build an adaptable, powerful mobile robot based on the SRC controller, taking the SRC-880 AMR building example in just eight steps.

SEER Robotics one-stop AMR building solution, building unmanned chassis in just eight steps! 

When choosing to build a mobile robot autonomously, the combination of the core brain controller + other components provides a way to build from zero. However, when it comes to efficiency optimization or R&amp;D capacity constraints, is there an easier way? SEER Robotics&#x27; AMB unmanned transport chassis provides an efficient and convenient way to build cars for customers with certain manufacturing and design capabilities. In 2018, SEER Robotics officially launched the AMB series of standard chassis to help customers quickly complete the manufacturing and application of mobile robots. After five years of precipitation and accumulation, a series of highly flexible and customized mobile robots have been derived on the basis of standard chassis. And is widely used in warehousing logistics, semiconductor, 3C electronics, auto parts and other industries, for a variety of non-standard scenarios to provide the most suitable intelligent logistics solutions, has been highly recognized by customers. Based on the in-depth analysis of the customer market and the long-term accumulation of technology research and development, SEER Robotics once again completed the optimization and upgrading of AMB chassis at multiple levels this year.<div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/654df666d0e1e500391c0755.png" width="850px" style="width:850px"/></div>❗️The charging ratio is greatly blocked and improved, getting rid of power anxiety.Considering various factors such as battery life, cost, safety and environmental protection, the internal battery cell of the AMB chassis has been replaced by lithium iron phosphate from the original ternary lithium. Although the battery capacity is reduced, the comprehensive battery life of the AMB chassis is still the same, and it can still reach 12 hours, which will not affect the efficiency of the robot. In addition, the charging time of the AMB chassis is faster, and the significant increase in the charging rate effectively alleviates some customers&#x27; concerns about battery power, and there is no need to worry about waiting for a long time for the battery to charge. In terms of safety, environmental protection and cost, lithium iron phosphate is superior. Lithium iron phosphate battery has higher thermal stability and resistance to penetration, making the battery more safe and reliable; Lithium iron phosphate used in lithium iron phosphate battery is a natural ore, rich in resources and renewable, will not cause serious pollution to the environment, environmental protection performance is better; In the case of frequent charge and discharge, the life of lithium iron phosphate is also longer, which will greatly reduce the cost caused by battery replacement, and accurately achieve cost reduction and efficiency for customers.❗️Multiple location support makes application scenarios more diverse.AMB chassis laser configuration update, all series of lasers can support reflector navigation, also support the integration of laser SLAM, two-dimensional code and other navigation methods, multiple positioning operation more accurate, repeated positioning accuracy up to ±2mm, to achieve seamless robot and equipment docking, efficient handling of materials.<div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/654df6d225a91c003b9a3b4d.gif" width="850px" style="width:850px"/></div>The WIFI module and HMI module will no longer be used as the main parts of the AMB chassis, but will be used as the optional accessories for the upper expansion, and the installation and selection will be more flexible to further expand more application scenarios for the robot.❗️The integrated harness of the vehicle eliminates the trouble of docking.In order to improve customer manufacturing efficiency and accuracy, AMB chassis vehicle to achieve integrated wiring harness design, no longer need to worry about a variety of wiring harness docking in the manufacturing process, simplify the production process, while avoiding the risk caused by human error, improve the overall safety of the robot. In order to meet the possible future power supply needs and enhance the flexibility of the robot when upgrading or expanding in the future, the AMB chassis adds a 24V power supply port on the basis of the 48V interface to adapt to the diversified needs of customers.❗️Soft strength support makes the whole process of car installation worry-free.Based on the SEER Robotics knowledge base, customers can access detailed AMB chassis documentation information, including user manuals, technical documents, etc., and provide a complete jacket integration manual, comprehensive and detailed data support not only solves all the problems of the customer&#x27;s manufacturing process, but also further ensures the high quality and efficiency of robot manufacturing.❗️Open customization of large customers to meet individual needs.The AMB chassis now fully supports the customization of the brand logo, product appearance and top module according to the needs of the customer, which means that, whether from the perspective of brand promotion or from the actual use of the product, the customer can customize according to their needs and preferences, so as to better meet the differentiated needs of different scenarios.<div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/654df71e25a91c003b9a3b4e.gif" width="850px" style="width:850px"/></div>AMB chassis provides a variety of top module options, jacking, roller, manipulator, latent traction, head, etc. Customers can choose their own module combination according to their needs, expand more flexible and efficient, to achieve a variety of chassis applications.<div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/654df743d0e1e500391c0756.gif" width="850px" style="width:850px"/></div>The 2023 new AMB chassis is a new upgrade of the general chassis of mobile robots, and its functional optimization is closely aligned with the actual needs of robot manufacturers. The new AMB chassis not only has a more powerful and durable battery performance, a more integrated and stable use experience, but also a more personalized and soft support, which is undoubtedly the ideal choice for mobile robot manufacturers to pursue a better quality and cost-effective chassis.

👉 New Upgrade 👈 ：The 2023 new AMB chassis is a new upgrade of the general chassis of mobile robots, and its functional optimization is closely aligned with the actual needs of robot manufacturers.
👏 The charging ratio is greatly blocked and improved, getting rid of power anxiety.
👐 Multiple location support makes application scenarios more diverse.
🙌 The integrated harness of the vehicle eliminates the trouble of docking.
✌️ Soft strength support makes the whole process of vehicle installation worry-free.
👍 Open customization of large customers to meet individual needs.

A New Upgrade for SEER Robotics unmanned Chassis

&quot;Openness and cooperation&quot; is undoubtedly the key important trend and direction at present, and is also the popular development keyword of SEER Robotics this year.The ever-changing, increasingly competitive mobile robot market, fighting alone can no longer meet the market demand, and no longer adapt to the development of the market, and work together to create an open and shared, win-win cooperation in the industry ecosystem is the right path to sustainable development.Down to earth, SEER Robotics to take practical action to implement the &quot;open sharing - win-win cooperation&quot; development concept, organizing partner sharing sessions, regular training for integrators, partners with SEER Robotics products to global exhibitions ...... all-round expansion of the ecosystem, and is committed to the realization of the &quot;so that mobile robots have no We are committed to realizing the goal of &quot;making mobile robots without threshold&quot;.Extending to the entire line of Cengong Intelligence products, &quot;Open and Sharing - Win-Win Cooperation&quot; is highly compatible with Cengong Intelligence&#x27;s &quot;One Brain, One Chain&quot; product strategy.One Brain, One Chain&quot; adheres to the concept of &quot;no threshold for mobile robots&quot;, positions itself as the value hub of the industry, and provides partners with a diversity of optional products such as &quot;controllers+software+components&quot;, aiming to enhance customers&#x27; efficiency in vehicle construction and product competitiveness, and to promote the development of the upstream and downstream of the mobile robot industry ecosystem. &quot;Brain&quot; is a controller and software, with its leading technology and open platform, practicing the concept of supporting non-standard applications with standardized products. We provide a perfect controller product matrix, comprehensive and easy-to-use software, and continue to lower the threshold of mobile robots.&quot;Chain&quot; is the upstream and downstream industrial chain of mobile robots, which is intended to take the controller as the value hub, promote the standardization of products containing sensing, execution, energy and other components, and improve the efficiency of mobile robot design and manufacturing.In the past, SEER Robotics focused on providing customers with the core component controller for manufacturing mobile robots, however, in-depth tracing of the entire mobile robot manufacturing process, as shown in the video below, the entire process of building a car contains multiple modules, which involves a number of product components, which are interlocked, and will ultimately have an impact on the manufacturing progress of the entire car and the quality of the finished product. In short, integrators and vehicle manufacturers not only need high-quality controllers and system software, but also other components of mobile robots that are excellent and highly adaptable. One Brain, One Chain provides a practicable solution to help integrators and vehicle manufacturers complete the design and production of mobile robots more smoothly. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/654365430f5ad1003c006354.png" width="750px" style="width:750px"/></div> Based on a &quot;brain&quot;, SEER Robotics has already promoted the establishment of the ecology of the mobile robot industry &quot;chain&quot; (parts and components + vehicle body), provided open technology protocols and knowledge bases for integrators and vehicle builders, and shared supply chain resources, vehicle body resources, and even terminal project resources with them, to deepen the &quot;Build your own AMR fleet within days&quot;, and to truly create a new industry of open and shared mobile robots.

Adhering to the concept of "letting mobile robots have no threshold", One Brain One Chain positions itself as the value hub of the industry and provides partners with diversified optional products such as "controller+software+components", aiming to enhance customers' efficiency in vehicle construction and product competitiveness, and to promote the development of the upstream and downstream of the mobile robot industry ecosystem.

One "Brain" One "Chain", SEER Robotics Builds a New Industry of Mobile Robots

SEER Robotics has a group of excellent wizards, injecting strong vitality into our products. As a product company with a number of core technologies of mobile robots, the total proportion of R&amp;D personnel of SEER Robotics is more than half, and every product and every R&amp;D achievement is full of the hard work and wisdom of the R&amp;D team, step by step to realize the &quot;impossibility&quot;, and contribute to promoting the advancement of the field of mobile robots.The &quot;magic&quot; of the Wizard of SEER Robotics is not only embodied in the skillful mastery of code and precise output, but more importantly, it is to break down the barrier for ordinary users, so that the concept of &quot;low-code&quot; can be more popularized and the &quot;low-code&quot; platform can be more easy to use.Based on the advantages of low threshold, low cost, high efficiency and expandability, low-code is gradually becoming the first choice of more and more enterprises for digital transformation, and a new generation of productivity tools in various industry sectors.The two major digitalization software of SEER Robotics, &quot;Unified Resource Scheduling System (RDS)&quot; and &quot;Warehouse and Distribution Integration System (MWMS)&quot;, are mainly characterized by low-code. For many non-professionals, writing code is a very difficult thing, but based on the low-code platform of SEER Robotics, through simple drag-and-drop operation, users can build a variety of functional modules, according to the specific business scenarios to easily realize low-code development.<a href="https://www.seer-group.com/rds" target="_blank">Unified Resource Scheduling System RDS</a>In the face of complex scheduling business requirements, RDS has the ability to freely &quot;DIY&quot; the business, RDS will have existing components and code blocks as &quot;prefabricated parts&quot;, which can provide convenient and effective reuse, through the interface drag and drop, combination, you can build a variety of resources to participate in the combination of synchronous and asynchronous business processes. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/654340f8ba62d3003a7dc469.png" width="750px" style="width:750px"/></div> With the Skywind low-code engine, you can quickly create a point-to-point transportation task by dragging and dropping a block of code in just 5 steps, and then &quot;DIY&quot; it independently for business customization and development. Combined with &quot;online script customization&quot; to reduce the threshold of business development and operation, science graduates can develop simple projects through RDS in two weeks of training.<a href="https://mwms.seer-group.com/index_en.html" target="_blank">Integrated Warehouse and Distribution System MWMS</a>In the past, when faced with highly differentiated and complex warehousing business needs, enterprises needed to purchase expensive products and achieve differentiation based on extremely complex configurations, and if the configurations could not be realized, high-cost secondary development was required.Nowadays, based on MWMS system, there are not only 492+ rich system options to meet the basic business, but also through the visualization of low-code process engine to meet the complex business. The most differentiated part of the business process can be constructed by the visual industrial process engine; the customization of interface and data can be realized by the visual data engine. Complex business flow can be quickly realized by drag-and-drop, reducing the threshold of building; tasks support rapid reuse and modification, modules and components can be reused or copied; support for logic control, process control in addition to support for loops, complex variables, concurrency and other high-level functions; support for simple point-to-point handling, can be realized in cyclic processing, parallel processing, multi-point handling, multi-vehicle collaboration, system interactions, equipment control, inventory warehousing logic and so on..Finally, on this special day, let&#x27;s pay tribute to those wizards who have been quietly working in the code world, every strike of the keyboard is a serious expression of the world, let&#x27;s look forward to their wisdom and talent to create more wonders and beauties in the days to come!

In the algorithmic universe constructed by code, programmers are like wizards, building a colorful digital world with lines of seemingly ordinary but mysterious code, creating more valuable things for us with code, and changing the world bit by bit.

There is a wonderful world of low code!

Is there a more cost-effective mobile robot controller? Is there a precise focus differential AMR building control? Is there a more open custom service AMR building scheme? Yes! <a href="https://www.seer-group.com/robots/SRC-880" target="_blank">SRC-880</a> Entry-level mobile robot controller, both function and performance, breaking through the limitations, compact size but complete interface, Wi-Fi performance enhancement, while equipped with dual laser, obstacle avoidance camera, can be adapted to the differential motion model, accurately matched to the mainstream market differential car core requirements, is the best partner of the price-performance car building.<div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65436988ba62d3003a7dc46e.jpg" width="750px" style="width:750px"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65436b360f5ad1003c006358.jpg" width="750px" style="width:750px"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65436bf0ba62d3003a7dc470.jpg" width="750px" style="width:750px"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65436c0b0f5ad1003c00635a.jpg" width="750px" style="width:750px"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65436c1aba62d3003a7dc471.jpg" width="750px" style="width:750px"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65436c270f5ad1003c00635b.jpg" width="750px" style="width:750px"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65436c31ba62d3003a7dc472.jpg" width="750px" style="width:750px"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/65436c3b0f5ad1003c00635c.jpg" width="750px" style="width:750px"/></div>

Entry-level Mobile Robot Controller
Ultimate cost-effective 丨the best partner of the differential car 丨self-developed in China

Product Promotion丨Entry Level Mobile Robot Controller SRC-880

To spur the construction of intelligent factories, an increasing number of enterprises opt to replace their manual production with AMRs, and many of them have realized the fully plantwide intelligent AMR operation.<h3 class="MsoNormal"></h3>The uniqueness of each factory scenario and the difference in production line upgrading usher into a large number of non-standard requirements. To respond to complex customer requirements and reduce their own costs, numerous intelligent manufacturing integrators transfer toward the independent manufacturing of AMRs based on these purchased controllers.<h3 class="MsoNormal"></h3>So, which controller is their best choice? This has become integrators&#x27; biggest concern and largest pain. A good controller contributes to lower costs, higher customer satisfaction, better project delivery, and fewer after-sales problems.<h3 class="MsoNormal"></h3>SEER develops the SRC series core controllers, aiming to eliminate all barriers to manufacturing AMRs so that every player can make AMRs easily. Among them, the general-purpose controller SRC-2000 is the most universal one that meets nearly all requirements of integrators to manufacture AMRs.<h3 class="MsoNormal"></h3><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/63994e75e291ab0039365a2d.png"/></div><h3></h3>Since its launch, SRC-2000 has helped integrators at home and abroad to manufacture over 1,000 types of AMRs, widely applied in the industries such as semiconductor, auto parts, 3C electronics, lithium battery, photovoltaic, PCB, textile, medical health, manufacturing, electric communication, component processing, and consumables, among others.<h3 class="MsoNormal"> </h3><h3 class="MsoNormal">Diversified Functions and Strong Performance</h3><h3 class="MsoNormal"> </h3>For a general-purpose controller, its full-featured nature would be the biggest consideration of customers when they assess the device. SRC-2000 is highly universal to cater to the majority of customers in the market at present.<h3 class="MsoNormal"></h3>From the initial R&amp;D of controllers, SEER has followed the diversity principle and continuously integrated various customer requirements, including vigorously supporting integrators to make cars independently in the later stage and building a wider application ecology.<h3 class="MsoNormal"> </h3><div class="media-wrap image-wrap"><img class="media-wrap image-wrap" src="//cdn1.seer-group.com/static/63994ca1e291ab0039365a2c.png"/></div><h3></h3>From numerous non-standard requirements, SEER has continuously extracted and refined standard functions and developed its standard product—the SRC-2000 controller—from the initial customization to the final standardization.<h3 class="MsoNormal"></h3>SRC-2000 enables basic functions such as mapping, positioning, identification, calibration, navigation and path planning, obstacle avoidance, external mechanism scripts, motion model, peripheral extension, motors, drivers, power supply, and interfaces. It works well with the SEER one-stop implementation tool—Roboshop Pro for visualized configuration and implementation, and the RDS for visualized storage location management and unified scheduling of multiple vehicles.<h3 class="MsoNormal"> </h3><h3 class="MsoNormal">Multiple Options and Free Definition</h3><h3 class="MsoNormal"> </h3>Each module in SRC-2000 supports multiple options so that customers can independently match modules depending on their factory environment and actual needs.<h3 class="MsoNormal"></h3><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1.seer-group.com/static/63994cf202d755003a20d11c.png"/></div><h3></h3>The SRC-2000 positioning and navigation module supports the reflector, natural contour, vision, QR code, 2D/3D laser SLAM, outdoor RTK positioning and navigation technologies, optional separate navigation mode, and hybrid navigation mode.<h3 class="MsoNormal"></h3>Under a technical framework, SRC-2000 is compatible with the chassis of various motion models currently available on the market, including single-steer wheel, multi-steer wheel, double-wheel differential, four-wheel differential, Mecanum wheel, double differential module, RGV2/RGV4 motion models.<h3 class="MsoNormal"></h3>SRC-2000 enables accurate recognition, intelligent capture, and handling, and supports four different recognition technologies: 2D laser, 3D point cloud, QR code, and reflector recognition. Among them, 3D point cloud identification is more intelligent for pallet recognition and status detection of the goods on pallets.<h3 class="MsoNormal"></h3>SRC-2000 is compatible with various external mechanisms, such as roller, jacking, traction, rotation, and other mechanisms, as well as the widest range of lasers, drivers, and sensors, such as SICK, Kinco, and MOTEC, among others. SEER is keeping on expanding the list of more diversified peripheral devices to meet the richer requirements of integrators for automobile manufacturing.<h3 class="MsoNormal"> </h3><h3 class="MsoNormal">Diversified Interfaces and Secondary Development</h3><h3 class="MsoNormal"> </h3>SRC-2000 provides APIs such as TCP/IP and Modbus and the environment for script development, allowing integrators for the secondary development of specific functions based on customers&#x27; requirements.<h3 class="MsoNormal"></h3><div class="media-wrap image-wrap"><img src="//cdn1.seer-group.com/static/63995116e291ab0039365a2e.png"/></div><h3></h3>SRC-2000 eliminates all barriers for anyone to manufacture AMRs, freeing integrators from deployment constraints and difficulties due to non-standard requirements.

To spur the construction of intelligent factories, an increasing number of enterprises opt to replace their manual production with AMRs, and many of them have realized the fully plantwide intelligent AMR operation.

[Diversified Functions and Strong Performance for Easy Automobile Manufacturing] Features of SEER General-Purpose Controller SRC-2000

The SEER general-purpose controller SRC-2000 is the most widely applied type, with full functions, strong performance, and diversified interfaces, making it the best choice for integrators and terminal factories to manufacture AMRs.<h3 class="MsoNormal"></h3>As we are expanding our customer base, we find that some customers do not need all the functions of SRC-2000 though it is widely used and fully functional to cater to our customers. For them, SRC-2000 [breaks a fly on the wheel] and increases their actual costs.<h3 class="MsoNormal"></h3>We also notice that most machines, equipment, and devices are smart and automatic in a factory that has been intelligently upgraded. To improve the efficiency in a factory, we should integrate AMRs and other intelligent devices closely while maintaining good control over AMRs. This is a big challenge because devices have different models and are sourced from different suppliers.<h3 class="MsoNormal"></h3>So, is there any controller that is much more cost-performance? Is there any controller suitable for other intelligent devices inside a factory?<h3 class="MsoNormal"></h3>To explore this huge, undeveloped segment market, on September 2021, SEER officially launched its entry-level mobile robot controller SRC-800 which is independently developed.<h3 class="MsoNormal"></h3>Compared with the SRC-2000 controller, SRC-800 is perfectly &quot;cost-performance&quot;. Its more affordable price does not compromise its function, performance, and user experience. SRC-800 can be used in various scenarios and navigation modes to build different types of AMRs. It is the supreme one among entry-level controllers.<h3 class="MsoNormal"></h3><div class="media-wrap image-wrap"><img class="media-wrap image-wrap" src="//cdn1.seer-group.com/static/6391baf157319d003a63ddd1.png"/></div><h3></h3><h3 class="MsoNormal">Small and Versatile—King of Cost Performance</h3><h3 class="MsoNormal"> </h3>As a member of the SEER SRC family, SRC-800 inherits the habitual technical advantages of SEER intelligent products, including environmental universality, operation visualization, multi-vehicle consistency, and scheduling versatility, under the support of strong basic functions and system software.<h3 class="MsoNormal"> </h3>On its small and compact 172*115*33mm body, SRC-800 has diversified interfaces, including 10 for DI and 10 for DO, and supporting multiple isolated CAN buses and 485 Bus. It has functions such as the one-button startup, multi-port switch, built-in gyroscope, built-in temperature and humidity sensor, manual charging detection, and battery communication port.<h3 class="MsoNormal"> </h3><div class="media-wrap image-wrap"><img class="media-wrap image-wrap" src="//cdn1.seer-group.com/static/6391ba128ae5d8003b310906.png"/></div><h3></h3>From the perspective of market positioning, SRC-800 is slightly inferior to SRC-2000 in terms of functional diversity and performance. However, SRC 800 makes a wise trade-off among the advanced optional functions of SRC-2000 to be a niche product that is [Small but Refined] to cater to our customers.<h3 class="MsoNormal"></h3>SRC-800-Q for QR Code Navigation:It is used for QR code-based AMR navigation. It can be connected with a QR code scanner and an obstacle avoidance laser, supporting jack, and servo control.<h3 class="MsoNormal"></h3>SRC-800-T with a Single Laser Chassis:It is used for building economical AMRs, supporting single-laser SLAM navigation and jacking.<h3 class="MsoNormal"> </h3><h3 class="MsoNormal">Redefining Multi-Purpose Controllers</h3><h3 class="MsoNormal"> </h3>In addition to AMR control, SRC-800 can also control automatic charging piles, automatic doors, elevators/escalators, traffic lights, RGVs, hoists, and stackers, among others. Together with SEER&#x27;s RDS, it realizes overall control and unified scheduling of the whole factory under a unified dispatch interface framework.<h3 class="MsoNormal"> </h3><div class="media-wrap image-wrap align-center" style="text-align:center"><img src="//cdn1.seer-group.com/static/6391bb9057319d003a63ddd2.png"/></div><h3 class="MsoNormal"> </h3>It saves operators from device interfacing. In case of any problem at any link, under the same protocol and technical architecture, operators can quickly locate faults, simplifying the debugging and troubleshooting process, increasing the overall efficiency of the factory, and bolstering the intelligent transformation and automatic expansion of the factory.<h3 class="MsoNormal"></h3>To embed the same type of controllers into different intelligent equipment within a factory, the deployment efficiency matters a lot. SRC-800 enables extremely fast deployment that is far beyond your imagination. It enables users to deploy plantwide facilities in a unified way under the same control framework and system software of SEER, realizing one-stop operations and avoiding numerous problems.<h3 class="MsoNormal"></h3>In addition to the initial deployment, the plant-wide energy consumption in the later stage is also our customers&#x27; focus. SRC-800 features lower consumption and higher performance: 10W ultra-low energy consumption, largely increasing the standby time; a multi-core heterogeneous ARM processor for complex use scenarios; dual-band Wi-Fi for fast roaming; and an optional NB-IOT for diversified networking requirements.

The SEER general-purpose controller SRC-2000 is the most widely applied type, with full functions, strong performance, and diversified interfaces, making it the best choice for integrators and terminal factories to manufacture AMRs.

[Plantwide Control and High-Cost Performance]  Features of SEER Entry-Level Controller SRC-800

<h3 style="text-align:start;" size="0" _root="undefined" __ownerid="undefined" __hash="undefined" __altered="false">Ⅰ. Why do we need shape identification?</h3>The shelf cannot always be fixed at a position. When the AGV needs to perform some operations such as pulling or lifting the shelf, it needs to know the location of the shelf accurately. At this time, the AGV&#x27;s own positioning on the map is accurate, but the location of the shelf is unknown on the map, so we need to identify the shelf to determine the location of the shelf. And some scenes require that the shelf legs cannot be modified (such as pasting reflective film, etc.). At this time, it is necessary to identify the shape of the shelf legs.  <h3>Ⅱ. Requirements for shape identification of shelf legs</h3>1. Under normal circumstances, the shelf has four legs, and the four legs are required to form a rectangle;2. The other parts of the shelf design are required to be in axisymmetric form, including limit holes that cooperate with the jacking mechanism, and the shelf part supported on the shelf legs;3. The inner width of the shelf is 20cm wider than the maximum width of the robot, that is, 10cm redundant adjustment space of drilling the shelf on the left and right sides;4. The requirement on the shelf height is determined according to the itinerary of the jacking module;5. The surface of the shelf legs is required to be smooth and flat;6. The shape of the shelf legs is preferably a regular cube;7. The surface of the shelf legs cannot be made of specular reflective materials;8. The surface of the shelf legs cannot be translucent materials;9. The surface of the shelf legs cannot be black material;The picture below shows a typical usable shelf leg. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385a39faee9a003b147568.png"/></div> <h3>Ⅲ. Description of parameter configuration: </h3><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385a505e1c9b003d9501da.png"/></div> The above figure is a schematic diagram of shape identification by laser radar. The blue coordinate system in the figure is the car body coordinate system of AGV, the dotted square is the configurable identification area of laser radar, and the dotted line in the square is the schematic diagram of the laser radar scanning, scan.When using laser radar for shape identification, ensure that there are shelf legs to be identified in the identification range of the laser radar, and the identification area can be configured according to the on-site environment; <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385a71faee9a003b147569.png"/></div> The several parameters shown in the figure above represent the identification area of the laser radar. This parameter needs to be configured according to the actual environment of the site.ValidShapeX: the maximum identification distance in the car body coordinate system, and the unit is m;ValidShapeBias: the amount of deviation;According to the identification direction, the system will automatically calculate the identification range. For instance, it can identify the dotted frame on the diagram.When detect_direction is x, ValidShapeX is the maximum distance in the x direction in the car body coordinate system, that is: 0&lt;x&lt;ValidShapeX, and the range of identification in the y direction is: -(distance/2 + ValidShapeBias) &lt;y &lt;(distance/2 + ValidShapeBias).When detect_direction is -x, ValidShapeX is the maximum distance in the x direction in the car body coordinate system, that is: -ValidShapeX&lt;x&lt;0, and the range of identification in the y direction is: -(distance/2 + ValidShapeBias) &lt;y &lt;(distance /2 + ValidShapeBias).When detect_direction is y, ValidShapeX is the maximum distance in the y direction in the car body coordinate system, that is: 0&lt;y&lt;ValidShapeX, and the range of identification in the x direction is: -(distance/2 + ValidShapeBias) &lt;x &lt;(distance/2 + ValidShapeBias).When detect_direction is -y, ValidShapeX is the maximum distance in the y direction in the car body coordinate system, that is: -ValidShapeX&lt;y&lt;0, and the range of identification in the x direction is: -(distance/2 + ValidShapeBias) &lt;x &lt;(distance /2 + ValidShapeBias).Note: the car body coordinate system is a right-handed coordinate system, that is, the positive front is the positive X direction, and the positive left is the positive Y direction.ValidShapeDistanceThreshold: this value represents the difference between the distance between the shelf legs calculated in the identification algorithm and the actual distance;ValidShapeLineThreshold: this value represents the difference between the length of the shelf leg calculated internally by the identification algorithm and the actual length.ValidShapeLineSplidThreshold: this value represents half of the diagonal length of the shelf leg and needs to be changed according to the size of the shelf leg.ValidShapeValidShelfAngle: this value represents the maximum inclination angle between the car body and the shelf. When the identification direction is the front and rear of the vehicle, it indicates the maximum inclination angle between the front and rear of the vehicle and the shelf. Lateral identification is expressed as the maximum angle of inclination between the side of the car and the shelf.ValidShapeDetertorNum: this value represents the number of consecutive identifications. When the results of multiple consecutive identifications are very close, then the identification is successful. This parameter is only valid for drilling the shelf.Use Roboshop software of our company, click the [Identification File] tab to enter the configuration interface, select a [shelf] file, and configure the parameters of the shelf description file in the properties window on the right. As shown below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385ac2faee9a003b14756c.png"/></div> Description of drill-in attribute parameter:1.align_depth: the depth of drilling into the shelf in the case of car head identification (x-direction);2.anti_align_depth: the depth of drilling into the shelf in the case of car trail identification (-x direction);3.y_align_depth: the depth of drilling into the shelf in the case of lateral identification of the car head (y-direction);4.y_anti_align_depth: the depth of drilling into the shelf in the case of lateral identification of the trail (y-direction);5.continue_detect: whether to enable continuous identification6.recDist: if the front point is far away from the shelf, you can configure recDist. This value indicates how far from the shelf to start recognition. Through the numerical value, the influence of factors such as uneven ground and uneven level of lidar installation can alleviate to a certain extent, and the application can improve the recognition accuracy. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385af35e1c9b003d9501dd.png"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385b01faee9a003b14756d.png"/></div> It is required to configure five parameters as shown in the figure:1. rightStandardLength, the length of the right shelf leg;2. rightVerticalLength, the width of the right shelf leg3. leftVerticalLength, the width of the left shelf leg;4. leftStandardLength, the length of the left shelf leg;5. distance, the distance between the inner sides of the shelf legs;6. use_optimization, checked by default, represents use optimization. In addition, the angle between the length and width of the shelf leg is 90° by default, and it can also be additionally configured. When the length and width of the shelf leg are greater than 6cm, check use_optimization to improve the identification accuracy.After completing the configuration of the above-mentioned reflective film or shape identification, you only need to configure the identification model file in the attribute of the front point corresponding to the shelf point, that is, the shelf file, and then set the <h3>Ⅳ.Instructions for use </h3><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385b3e5e1c9b003d9501de.png"/></div> ObsExpansion in the line attribute to 0 to avoid the situation that the robot stalls during the process of drilling the shelf. Next, configure the execution action: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385b53faee9a003b14756e.png"/></div> 1. If it is required to identify the position of the shelf, and drill into the material shelf to jack it up, you need to check to Recognize and click Load;2. If there is no need to identify the position of the shelf, drill in an open-loop to a fixed position and jack it up, you don&#x27;t need to check Recognize, just click Load;3. If it is required to identify whether there is a shelf in the position, and place the shelf, you need to check Recognize, and click Unload. If there is a shelf occupied, an error will be reported; if identification is not required, and it is required to open the loop and place it, you don&#x27;t need to check Recognize, just click Unload;4. There are a few cases where you need to click Wait. If you check to Recognize and then click Wait, the robot will recognize the position of the material shelf, drill into the bottom of the material shelf, and then end the task without moving and jacking module; if you don&#x27;t check Recognize, and click Wait directly, the robot will navigate to the workstation with a fixed path, and then end the task without jacking. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385b775e1c9b003d9501df.png"/></div> Then if we select the execution action when executing the path planning, AMR will automatically switch to the identification mode at this front point, and calculate the center position of the shelf according to the position of the recognized shelf leg and automatically generate the route to this position.For the omnidirectional car with the laser radar installed at the front and rear, the front, rear, left and right sides of the car can also be identified through configuration. The configuration is shown in the following figure: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385b95faee9a003b14756f.png"/></div> <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62385b9d5e1c9b003d9501e0.png"/></div><h3> Ⅴ. Other instructions</h3>1. In order to reduce wrong identification, when using the laser to identify the material shelf, the distance between the center of the front two legs of the material shelf and the front identification point should be less than 2m, and the angle deviation between the line from the center point to the identified position laser and the car body is less than 10°, and the angle deviation between the angle of the shelf itself and the AMR during identification is less than 20°;2. To use the identification function of the laser point cloud shape, you need to configure the parameter method_type to by_legShape, and avoid blocking the shelf legs in the laser radar identification area;identification accuracy: the accuracy in the x and y directions is higher than ±1cm, and the angle accuracy is higher than 1°. (The closer the identification distance, the wider the shelf legs, the more accurate the identification. The accuracy is measured at the identification distance of 1m and the length and width of 6cm)

The shelf cannot always be fixed at a position. When the AGV needs to perform some operations such as pulling or lifting the shelf, it needs to know the location of the shelf accurately. At this time, the AGV's own positioning on the map is accurate, but the location of the shelf is unknown on the map, so we need to identify the shelf to determine the location of the shelf. And some scenes require that the shelf legs cannot be modified (such as pasting reflective film, etc.). At this time, it is necessary to identify the shape of the shelf legs. 

Technology Column of SEER Intelligent Identification Column Shape Identification

<h3>Ⅰ. Use scenarios of QR code navigation</h3>SEER Intelligent&#x27;s AGV supports multiple navigation methods, and QR code navigation is one of them. In a narrow, open, or environment with severe changes, accurate and stable positioning and navigation can be achieved by pasting the QR code for navigation and the PGV reader installed under the AGV body. PGV: Position Guided Vision, which can be used to support QR code navigation or ribbon navigation. <h3>Ⅱ. Installation and precautions for PGV</h3>Generally, PGV is installed at the bottom of the trolley, and it is vertically illuminated to the ground. When installing, first ensure that the height of the PGV from the ground is moderate, and ensure that the PGV can see the QR code completely when the QR code is directly below the PGV; secondly, you need to pay attention to the installation direction and angle of the PGV and try to ensure that the PGV is installed horizontally.<h3> Ⅲ. Model configuration</h3>The yaw (r) angle of the PGV needs to be read from the PGV by paralleling the QR code with the car, and then the yaw in the PGV configuration is -angle.After filling in the yaw value correctly, perform PGV calibration. After the calibration, you can see the parameter list as shown in the figure below. The units xUnit and yUnit are the coordinate values configured in PGV, which are filled in according to the actual configuration; the coordinate unit configured in this document is 0.1mm, so fill in 0.0001m. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62344f27966466003a30a177.png"/></div> &quot;func&quot; refers to the function of the position-guided vision system. Please check it according to the actual situation.adjust: adjust;localization: positioning;adjust Localization: positioning + adjustment of the angle of reaching the site. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62344f5238ef13003b9bd103.png"/></div> After the configuration is complete, you can see the QR code reading the information in the [Operation Status]-[PGV] column: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62344f6b966466003a30a178.png"/></div><h3> Ⅳ. PGV calibration</h3>SEER Intelligent provides two PGV calibration methodsPGV calibration and PGV-odometer calibration <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62347402966466003a30a179.png"/></div> 1. PGV calibration:PGV calibration applies to cars equipped with PGV (upper-view or lower-view) equipment. Each PGV equipment corresponds to a calibration item of this type.PGV calibration needs to collect: the QR code pose data and odometer output detected by PGV. To enable the robot to detect the QR code with the PGV to be calibrated in the initial state, the robot will perform the following operations: adjust the position of the robot to align the PGV to the center of the QR code; advance and retreat several times; rotate around the center of the PGV a circle (Described in the model file).2. PGV-odometer calibration:PGV-odometer calibration is suitable for two-wheel differential cars that are not equipped with laser radar equipment that is ticked for positioning and equipped with a lower-view PGV (such cars always rely on the detection of QR codes for positioning). Each lower-view PGV corresponds to a calibration item of this type. PGV-odometer calibration needs to collect: car positioning data and encoder data of walking motor from PGV. In the PGV-odometer calibration process, it is necessary to obtain as much positioning data as possible from the pose information of the QR code detected by the PGV, so a dense area of the QR code is required for calibration. The simplest form of this area is a continuous bar-shaped QR code area, as shown in the figure below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6234747338ef13003b9bd104.png"/></div> This bar-shaped QR code area also has the following attributes (see the figure below)The x-axis of the QR code coordinate system corresponds to the long side of the bar-shaped area; in the QR code area, the QR code at the end of the QR code coordinate system in the negative x-direction is called the starting QR code, and when the PGV-odometer calibration is executed, the robot should be located within the range where PGV can detect this QR code. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623474a4966466003a30a17a.png"/></div> In the initial state, the robot can use the PGV to be calibrated to detect the initial QR code. After calibration starts, the robot will perform the following operations: adjust the position of the robot to align the PGV to the center of the initial QR code; move forward and back several times; rotate in place counterclockwise and clockwise several times. 3. Instructions about the operation of PGV calibration:① Move the car to the center position where the PGV can detect the QR code, and the QR code can always be detected when the robot rotates in place;② Turn the front of the car to the center of the area where the QR code can be detected, so that the car can detect the QR code within the longest possible straight distance;③ Check the calibration to perform the calibration, and set the calibration result after completionNote: If the calibration item related to the odometer is displayed as uncalibrated, perform the corresponding calibration and set the calibration result; currently, the calibration of PGV depends on the laser, and the laser must be calibrated before the robot can be calibrated. <h3>Ⅴ. Requirements for pasting QR code</h3>The QR code is generally pasted on the ground. When pasting, you must first ensure that the QR code is pasted smoothly. If the pasting is not smooth, it will cause the PGV identification to fail; the QR code cannot be unclearly printed or smeared, which will cause PGV identification to fail. When pasting a QR code, you need to ensure that the orientation of the QR code is consistent and it is best to paste it along a straight line. Plan the path, especially the mutual exclusion area, before pasting the QR code. Use ink to mark the line before pasting, and the two parallel lines must be absolutely parallel (otherwise the map planning will be difficult to carry out). When pasting the QR code, first record the space between the QR code, which can help create a map. <h3>Ⅵ. Instructions about QR code mapping</h3>1. Carry out mapping at the edge of the map (as shown in the figure), adjust the setting parameters and map detection parameters. First create a QR code (the interval is smaller than one meter, consistent with the actual situation of pasting QR code) and then build the required sites, which are built on the QR code (Roboshop Pro 2.3.1.4 and above edition can directly copy the coordinates). <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6234757338ef13003b9bd105.png"/></div> <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62347586966466003a30a17b.png"/></div> <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6234759e38ef13003b9bd106.png"/></div> 2. Confirm the positioning of the robot: Use the high-level area as shown in the figure to frame the map. When the robot model in the high-level area in the map scans the QR code, the machine will automatically find the positioning. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623475cb966466003a30a17c.png"/></div><h3> Ⅶ. Tutorial about QR code navigation setting</h3>1. Get the location of the QR code:Before using the QR code to navigate the car, make sure that the robot has been configured and calibrated; after the QR code is posted on-site, select the robot on the Roboshop Pro homepage, and the Start Identification button will appear on the right side of the toolbar. As shown below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6234760b38ef13003b9bd107.png"/></div> Click Start Identification, and then manually control the robot to move to the bottom of the QR code. After the robot stops moving, the position of the QR code will be displayed, and then the QR code will be drawn on the map, and it will be controlled under all the QR codes in turn until all the QR codes are identified, click to stop identification. At this time, upload the current map and successfully record the world coordinate positions of all QR codes, as shown in the following figure: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62347629966466003a30a17d.png"/></div> 2. Add a site to the QR code:In the QR code navigation, the robot reads the information of the QR code to determine the position of the robot at this time, and the robot uses the sites (for example, AP site) and routes on the map to determine the next direction of travel; in the map editing mode, first select the site (for example, AP) from the toolbar on the left, drop it anywhere near the QR code, and then drag the AP site. When the AP site is close to the QR code, the AP site will automatically be attached to the QR code, as shown in the figure below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6234766738ef13003b9bd108.png"/></div> Follow this step to attach AP site to all QR codes and plan a route, as shown in the figure below; <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62347683966466003a30a17e.png"/></div> Note: The orientation of the QR code on the map must be consistent with the orientation of the QR code on the actual ground; the direction of the AP site can be adjusted according to the actual needs of .smap; 3. Positioning of QR code area:Next, select the area that needs to use the QR code to navigate. In the map editing, select the Area ≥ and select the QR code area in the Advanced Area to cover the area that needs to be navigated by the QR code, as shown in the following figure: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623476c938ef13003b9bd109.png"/></div> After the configuration of the area is completed, save and push, and then the robot will automatically switch to the function of QR code positioning after running to the area, and automatically switch to laser positioning after leaving the area; 4. Notes for QR code navigation:① The TagArea area must cover all sites and routes that require QR code navigation;② On .smap, ensure that the number of the QR code corresponds to the actual location one-to-one.③ The interval between the QR code is generally required to be within 1m. (The movement between the code and the code is an open-loop movement. In theory, the smaller the distance, the higher the accuracy to reach each site. In addition, the AP site may not be established on the QR code in the case of small code spacing, but the accuracy of reaching the site will be slightly impacted).④ The QR code should be pasted on a straight line as much as possible. If it is pasted incorrectly, it may cause poor accuracy of reaching the site and the slowing down of the robot after reaching this site.⑤ Note that the QR code has its own number, and the QR code used should not have the same number. Scanning the next QR code will cover the previous QR code. <h3>Ⅷ. Relevant parameter description</h3>In the PGV configuration interface of the robot model, some parameters need to be configured. These parameters are explained below:The first is under basic:onOpenTime: pgv boot time. Configure PGV boot time;id: equipment id. The number of the position guided vision system;x: the position on the x-axis. The x position in the right-hand coordinate system, such as the coordinates of the car model;y: the position on the y axis. The y position in the right-hand coordinate system, such as the coordinates of the car model;z: the position on the z-axis. The z position in the right-hand coordinate system, and the distance from the lens to the QR code;yaw: installation angle. The orientation angle in the right-hand coordinate system, such as the coordinates of the car model (when the orientation of the PGV is not clear, you can align the x-direction of the QR code with the x-direction of the car body and place it in the PGV field of view. Read the angle this time when PGV returns(it is a radian system, which should be converted), take the opposite number, and fill in the model file);Upside: whether it is installed in the positive direction. Whether the configured position guided vision system is installed in the positive direction. If it is the positive direction, check Upside, while if not, don&#x27;t check.xUnit: x unit. When PGV returns, the X value unit, which should be converted by multiplying the coefficient to m; it can be obtained by viewing the PGV instruction manual;xRange: X direction range. The range of X-direction that PGV can see, and the unit is m. Please fill in according to the actual situation;yUnit: y unit. When PGV returns, the Y value unit, which should be converted by multiplying the coefficient to m; it can be obtained by viewing the PGV instruction manual;yRange: Y direction range. The range of Y direction that PGV can see, and the unit is m. Please fill in according to the actual situation;angle unit: Angle unit. The unit of angle when PGV returns, which should be converted to &quot;°&quot; unit;Then there are the following parameters under func:adjust: adjust. When the AGV reaches the target site, it will be adjusted according to the position of the QR code;localization: positioning;adjustLocalization: adjustment plus positioning;Finally, the following parameters under the brand:P+F-R4-485: Brand name, which has been adapted and can be selected;MS-PGV-485: Brand name, which has been adapted and can be selected; <h3>Ⅸ. Related alarms and FAQ</h3>&quot;55503&quot;: &quot;rbk_pgv_loc is not activated&quot;, pgv is not activated;&quot;54070&quot;: &quot;PGV cannot find codes&quot;, pgv does not recognize the QR code;&quot;52127&quot;: &quot;PGV connection error&quot;, connection error of pgv;&quot;52128&quot;: &quot;PGV info with mismatched device id&quot;, pgv does not match the device id.

SEER Intelligent's AGV supports multiple navigation methods, and QR code navigation is one of them. In a narrow, open, or environment with severe changes, accurate and stable positioning and navigation can be achieved by pasting the QR code for navigation and the PGV reader installed under the AGV body. PGV: Position Guided Vision, which can be used to support QR code navigation or ribbon navigation.

Technical Skills | Identification Column of SEER Intelligent: QR Code Navigation

Welcome to the second technical feature article of the identification column: Pallet identification! The full text will explain in detail the technical points of pallet identification. The article is long, so please read it patiently.Before reading, if you have any questions about the pallet, you can click here to learn about the pallet. Note: Trays in the text also refer to pallets. <h3>Ⅰ. Application</h3>In factory warehouses, the use of automatic forklifts for cargo handling is a very common application scenario. Usually, cargo needs to be handled and transported with the help of pallets. At the same time, most factory environments cannot set mechanical limits to ensure the consistency of pallet placement. Therefore, AMR needs to detect the accurate position of the tray with visual aid when it carries out the tray forking and accurately forks the pallet through AMR position adjustment. <h3>Ⅱ. Camera configuration and calibration</h3>2.1 Camera network configurationThe company chooses the model of PERCIPIO camera FM851-RI, which is mainly used for forklift AMR for pallet identification. Its principle is to use binocular structured light to obtain the 3D point cloud of the object and detect and locate it through the special shape and structure of the pallet. Usually, install the camera in the middle of the prongs of the forklift. 1. Open &quot;Roboshop Pro&quot;, click [Others], select [Camera Network Configuration] <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232c19b38ef13003b9bd0d4.png"/></div> 2. The opened interface <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623317bc38ef13003b9bd0dc.png"/></div> 3. After confirming that the camera has been connected via Ethernet, click the refresh button (blue icon in the upper right corner) <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623317f7966466003a30a152.png"/></div> 4. Modify the address in the IP to the required address, usually, the camera is configured as &quot;192.168.192.xxx&quot;, then press the [OK] button <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6233181438ef13003b9bd0dd.png"/></div> 5. If &quot;Update Success&quot; appears, it means the modification is successful and the operation ends. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62331831966466003a30a153.png"/></div> 2.2 Calibration of external parameters of the cameraFor the camera installed on the ground forklift or forklift for QR code recognition function and pallet identification function, you can refer to the following to calibrate the camera. First, you need to calibrate the bracket. [The design drawing of the calibration bracket can be downloaded from the following link: https://ecm.seer-group.com/outpublish.html?code=Bd52f510677024763b9f7b6d169c80f6f&amp;lang=zh-cn#view (Password: 8145CBEC)]The bracket installation is shown in the figure below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6233188238ef13003b9bd0de.png"/></div> The bracket must be tightly fitted with the fork prongs of the ground pallet truck to ensure that the bracket is perpendicular to the ground, and the bracket is also perpendicular to the shelf legs. Next, two QR codes need to be pasted on the bracket. **The QR code with ID=0 needs to be pasted on the left and the QR code with ID=1 on the right**.Configure each parameter as shown in the figure above in the parameter configuration:**Tag_Height: The height of the center of the QR code from the ground****Tag_disFromCenter: The distance in the X direction from the QR code to the mileage center****Tag_Size: The size of the QR code****disBetweenTag: The distance between the centers of two QR codes** <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623318ce966466003a30a154.png"/></div> After the configuration of each parameter is completed, then confirm that &quot;3Dcamera&quot; is not checked under the camera type in the model file, as shown below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623318f838ef13003b9bd0df.png"/></div> Then after saving the push, you can select the brand camera for calibration in other options. After the calibration is successful, the calibration parameters of the camera installation position can be output.At the same time, after the calibration is completed, you can go through the homepage, robot files, select the &quot;robokit cameraData&quot; folder in roboshop, and enter the &quot;jpg&quot; file that can be named starting with &quot;tag&quot;. Download the file to see the calibration result, as shown in the following figure: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6233192c966466003a30a155.png"/></div> In the resulting graph, you can see that the identified tag on the left is ID=0, and the tag on the right is ID=1, indicating that the identification is successful. <h3>Ⅲ. The configuration and forking and picking of identified files</h3>3.1 The explanation of parameter configuration of identified filesWhen using the pallet identification function, you need to configure the identification file, which can be seen in the Roboshop identification file option, select the &quot;pallet&quot;, and then modify the relevant parameters in the properties window. <div class="media-wrap image-wrap"><img class="media-wrap image-wrap" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6233198b38ef13003b9bd0e0.png"/></div> By default, only pallets with left and right symmetry can be identified, that is, the size of the middle hole is the same. Before using the pallet identification function, you need to configure the pallet related parameters in the identification file option, which are:pallet_width: the width of palletpallet_height: the height of palletpocket_width: the width of the middle holepocket_height: the height of the middle holepocket_spacing: the width of the middle legThe height of the pallet refers to the height of the support columns of the pallet, excluding the height of the objects connected between the support columns. The thickness of the pallet (the height of the pallet minus the height of the middle hole) should be greater than 3cm. If it is less than 3cm, the pallet may not be identified.As shown below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623319fd966466003a30a156.png"/></div> 3.2 The requirements and instructions of related parameter configuration of pallet placementWhen the pallet is placed, the deviation angle of the coordinate system between the pallet and the robot is generally less than 20° (α in the figure below), and the horizontal deviation is less than 30cm in the dis in the figure (b) below. The distance between the pallet and the camera is generally greater than 1m and less than 3m. As shown below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62331a3b38ef13003b9bd0e1.png"/></div> 3.3 Instruction of forklift motion parameters for pallet identificationParameter configuration:RecQRCode_AheadDist: the unit is m, preposition distance for identification planningRecQRCode_BackLength: the unit is m, postposition distance for identification planning(The distance is roughly the distance between the mileage center of the forklift and the in-position switch on the fork. If this value is too large, it will cause the cargo DI to trigger an error in advance. If the value is too small, it will cause the ground forklift to not trigger the in-position DI error after the point. )RecQRCode_PathSpeed: the unit is m/s, travel speed of the identification pathRecOnePathRatio: the unit is radian, a single path tangent threshold generated after identificationGraphic illustration: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62331ab1966466003a30a157.png"/></div> <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62331abe38ef13003b9bd0e2.png"/></div> 3.4 Instructions for identification operation <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62331af2966466003a30a158.png"/></div> After completing the configuration of the above identification files, it is only necessary to configure the identification model file. That is the &quot;pallet&quot; file, in the attribute of the front point corresponding to the pallet point. Next, configure the execution action: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62331b0638ef13003b9bd0e3.png"/></div> Select the AP point where the pallet is located, execute the action, and then execute the action of &quot;Load&quot; as shown in the figure above. After successful identification, the robot will go to the AP point to fork the pallet.

In factory warehouses, the use of automatic forklifts for cargo handling is a very common application scenario. Usually, cargo needs to be handled and transported with the help of pallets. At the same time, most factory environments cannot set mechanical limits to ensure the consistency of pallet placement. Therefore, AMR needs to detect the accurate position of the tray with visual aid when it carries out the tray forking and accurately forks the pallet through AMR position adjustment.

Real Stuff | Identification Column of SEER Intelligent: Identification of Pallet Identification

<h3 style="text-align:start;" size="0" _root="undefined" __ownerid="undefined" __hash="undefined" __altered="false">Ⅰ. Application scenarios of shelf identification</h3>Why do we need to identify the shelf?Because the material shelf is not always fixed in a certain position. AMR performs operations such as pulling or jacking up the shelf, which requires precise positions of the shelf. The map can accurately locate the AMR, but cannot locate the position of the shelf, so the operation of shelf identification is required to determine the position of the shelf.Standard requirements on the material shelf:1. The four legs of the material shelf need to form a rectangle;2. The other parts of the material shelf must be in axisymmetrical form, including the limit hole that cooperates with the jacking mechanism, and the material shelf part supported on the material shelf leg;3. The inner width of the material shelf must be greater than the maximum width of the robot by 20cm, and there is a 10cm redundant adjustment space for the material shelf on the left and right sides;4. The height of the material shelf is determined according to the stroke of the jacking module; <h3>Ⅱ. The identification method selected by SEER Intelligent</h3>1. Identification by reflective sticker <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232b63b38ef13003b9bd0cd.png"/></div> Graphical representation: Commonly used 3M reflective stickers Principle: Reflective stickers are commonly used high-strength reflective materials. The identification of reflective stickers mainly relies on the principle that the reflectivity of the reflective sticker received by laser is much higher than that of ordinary objects in the environment, so the specific location of the reflective stickers can be easily determined according to the reflectivity.Simple renovation required to use reflective stickers:1. Operation method:Cut two small pieces of reflective stickers and stick them on the leg of the material shelf on the side where the AMR will be drilled.2. Sticking requirements:① The center of the reflective sticker and the scanning plane of the laser radar installed on the AMR should be aligned in height② The inner side of the reflective sticker is flush with the inner side of the material shelf leg, as shown in the figure below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232b69d966466003a30a143.png"/></div> Instructions of use parameter configuration:Use Roboshop Pro software, click the [Identification File] tab to enter the configuration interface, select a [shelf] file, and configure the parameters of the shelf description file in the properties window on the right. As shown below: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232b6c138ef13003b9bd0ce.png"/></div> <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232b6d2966466003a30a144.png"/></div> width: After renovation, the outer width of the two shelf legs in the drilling direction. The width here refers to the outermost width of the two reflective stickers after renovation;length: the outermost width of the two shelf legs perpendicular to the drilling direction;leg_width: the width of the reflective sticker. If a standard 3M car reflective sticker is selected, it is 0.05 (meters);In addition to these three configuration parameters, there are also a wealth of configuration interfaces, which are the same as those in the use shape identification, such as the depth of drilling (align_depth), identification and drilling in different directions (detect_direction), and the adjusted drilling offset considering the shelf center of gravity (rec_off_x, rec_off_y, rec_off_angle) and other parameters.2. The shape identification: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232bbd338ef13003b9bd0cf.png"/></div> Graphical representation of laser radar shape identification: the blue coordinate system in the figure is the AMR vehicle body coordinate system, the dotted square is the configurable laser radar identification area, and the dotted line in the square is the schematic diagram of the laser radar scan.Principle：shape identification is conducted through laser point cloud, and there is no need to paste reflective stickers. When using laser radar shape identification, it is necessary to ensure that the leg of the material shelf to be recognized is within the identification range of the laser radar, and the identification area can be configured according to the on-site environment.Requirements for the shape and material of the legs of the shelf:1. The surface of the shelf legs is smooth and flat;2. The shape of the legs of the material shelf is a regular cube;3. The surface of the legs of the material shelf cannot be made of specular reflective materials, semi-transparent materials, and black materials. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232bc13966466003a30a145.png"/></div> Graphical representation: Typical and available shelf legs Instructions of use parameter configuration:Use Roboshop Pro software, click the [Identification File] tab to enter the configuration interface, select a [shelf] file, and configure the parameters of the shelf description file in the properties window on the right. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232bc9838ef13003b9bd0d0.png"/></div> <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232bca9966466003a30a146.png"/></div> The five parameters should be configured as shown in the figure:1. rightStandardLength: the length of the right leg of the material shelf;2. rightVerticalLength: the width of the right leg of the material shelf;3. leftVerticalLength: the width of the left leg of the material shelf;4. leftStandardLength: the length of the left leg of the material shelf;5. distance: the distance between the inner sides of the legs of the material shelf;In addition, the angle between the length and width of the shelf leg is 90° by default, and it can also be configured additionally. To ensure the accuracy of identification, the length and width of the shelf leg should be greater than 6cm. <h3>Ⅲ. Identification operation instructions </h3><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232bd4938ef13003b9bd0d1.png"/></div> After completing the configuration of the above reflective sticker or shape identification, you only need to configure the identification model file in the attribute of the front point corresponding to the shelf point, that is, the shelf file, and then set the ObsExpansion in the line attribute to 0 to avoid the situation that the robot stalls during the process of drilling the material shelf. Next, configure the execution action: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232bd64966466003a30a147.png"/></div> 1. If it is required to identify the position of the material shelf, and drill into the material shelf to jack it up, you need to check &quot;Recognize&quot; and click &quot;Load&quot;;2. If there is no need to identify the position of the material shelf, drill in an open-loop to a fixed position and jack it up, you don&#x27;t need to check &quot;Recognize&quot;, just click &quot;Load&quot;;3. If it is required to identify whether there is a shelf in the position, and place the shelf, you need to check &quot;Recognize&quot;, and click &quot;Unload&quot;. If there is a shelf occupied, an error will be reported; if identification is not required, and it is required to open the loop and place it, you don&#x27;t need to check &quot;Recognize&quot;, just click &quot;Unload&quot;;4. There are a few cases where you need to click &quot;Wait&quot;. If you check &quot;Recognize&quot; and then click &quot;Wait&quot;, the robot will recognize the position of the material shelf, drill into the bottom of the material shelf, and then end the task without moving and jacking module; if you don&#x27;t check &quot;Recognize&quot;, and click &quot;Wait&quot; directly, the robot will navigate to the workstation with a fixed path, and then end the task without jacking. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232bd9638ef13003b9bd0d2.png"/></div> Then if we select the execution action when executing the path planning, AMR will automatically switch to the identification mode at this front point, and calculate the center position of the shelf according to the position of the recognized shelf leg and automatically generate the route to this position. <h3>Ⅳ. Instructions of identification in different directions</h3>For an omnidirectional car with laser radar installed at the front and rear, the front, rear, left and right sides of the car can be detected through configuration. The configuration is shown in the following figure: <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232bddc966466003a30a148.png"/></div> <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6232bdea38ef13003b9bd0d3.png"/></div><h3> Ⅴ. Other instructions</h3>1. To reduce wrong identification, when using the laser to identify the material shelf, the distance between the center of the front two legs of the material shelf and the front identification point should be less than 2m, and the angle deviation between the line from the center point to the identified position laser and the car body is less than 10°, and the angle deviation between the angle of the shelf itself and the AMR during identification is less than 20°;2. To use the laser point cloud shape identification function, you need to configure the parameter &quot;method_type&quot; to &quot;by_legShape&quot;, and avoid blocking the shelf legs in the laser radar identification area;3. When using the reflective sticker method, the parameter &quot;method_type&quot; needs to be configured as &quot;by_reflector&quot;, and you should also ensure that the legs of the material shelf cannot be covered;4. Reflective sticker identification: the accuracy of the x and y directions is higher than ±1cm, and the angle accuracy is higher than 1°;5. Shape identification: The accuracy of the x and y directions is higher than ±1cm, and the angle accuracy is higher than 1°.

Why do we need to identify the shelf? Because the material shelf is not always fixed in a certain position. AMR performs operations such as pulling or jacking up the shelf, which requires precise positions of the shelf. The map can accurately locate the AMR, but cannot locate the position of the shelf, so the operation of shelf identification is required to determine the position of the shelf.

Real Stuff | Identification Column of SEER Intelligent: Identification of Material Shelf

It is strongly advisable to collect this meaningful article about the in-depth introduction to Vision AI written by BU!From unlocking mobile phones, payment, and consumption to production applications in factories, the 3D vision has penetrated into every aspect of life. So what exactly is the 3D vision? What role does it play in the vision AI solution of SEER Intelligent?Today, Zero will be an expert to explain professional technologies to you.This article takes you to understand 3D vision! <h3>Ⅰ. The technical difference between 3D vision and 2D vision</h3>The biggest difference between 3D vision and 2D vision technology is the type of data processed. In the field of 3D vision, the objects to be processed are usually 3D point cloud data collected by 3D sensors, while 2D vision technology is mainly used to process the information in a flat image. This determines that 3D vision can not only perceive the presence or absence of objects in the scene, but also accurately perceive the distance, size, and orientation of objects from us.With the RoboView Server algorithm platform, AMR can have a vision that can truly perceive the three-dimensional size information of an object like human eyes, and better realize the functions that 2D vision cannot or finds difficult to achieve. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231d141966466003a30a134.png"/></div><h3> Ⅱ. How does RoboView realize these functions through 3D vision?</h3>Although 3D imaging technology continues to develop, there is still no 3D sensor that has the advantages of strong resistance to ambient light interference, long imaging distance, high ranging accuracy, high resolution, and low cost.Therefore, the current application of 3D vision still selects cameras based on specific usage scenarios and budgets, and then customizes algorithm development based on camera imaging results. This high-cost and long-term application mode severely limit the use of 3D vision in actual scenes.In line with the thinking of supporting non-standard applications with standardized products, RoboView&#x27;s 3D vision module conducts a summary analysis of past 3D vision non-standard projects. The six basic operating procedures decompose, process, and analyze 3D visual data just like the six basic processes on the production line, and finally get the information we want. The first step: data collectionThe main task of the 3D data collection process is to obtain the 3D information of the scene. The exterior of the process faces 3D sensor interfaces of different brands and models, and the interior is to output 3D visual data in the same format. In this way, the process achieves external integration and internal unity. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231d1c338ef13003b9bd0c0.png"/></div> The second step: data calibrationThe main work of data calibration is to establish the connection between the 3D sensor and the real scene and establish a one-to-one correspondence between the things seen by the 3D sensor and the things existing in the real scene. After completing the data calibration, we can feedback the results analyzed by 3D visual data to the real scene. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231d200966466003a30a135.jpg"/></div> The third step: data filteringThe data filtering process is equivalent to a preliminary cleaning of the collected 3D information to remove information that has nothing to do with subsequent analysis objects, which can facilitate us to focus more on the objects that need to be processed. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231d25138ef13003b9bd0c1.jpg"/></div> The fourth step: scene segmentationScene segmentation is the dimension reduction processing of 3D data, and the filtered 3D vision data is divided into a series of 3D vision data with a simple structure such as planes and continuous surfaces according to its structural characteristics and texture differences. By dividing the 3D visual data in the scene into blocks of simple structural features, it can effectively prevent two different objects from interfering with the result of target identification in the later stage. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231d2a9966466003a30a136.jpg"/></div> The fifth step: target identificationTarget recognition is to determine the position and posture of the target object in the scene. The target recognition algorithm is used to accurately identify the location of the goods in the scene, providing a basis for subsequent data evaluation. Recognizing the position and posture of the goods can also help guide the robot to fork and transfer the goods. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231d30238ef13003b9bd0c2.jpg"/></div> The sixth step: data evaluationAfter accurately identifying the goods in the scene, the data evaluation system can evaluate the length, width, and height of the goods, and then analyze the in-depth information such as the height and type of the goods. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231d350966466003a30a137.jpg"/></div><h3> Ⅲ. Functions provided by RoboView 3D vision</h3>1. Obstacle detectionUnder the 3D vision, there is no fear of shadows and obstructed sight, etc., which effectively reduces false alarms and greatly improves the accuracy of the obstacle detection in the emergency channel.<div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231d55038ef13003b9bd0c3.png"/></div>2. Storage location managementStorage location management with 3D vision can not only accurately obtain the information of the presence or absence of goods in the storage location, but also more advanced information such as goods size, the stack height, and the position and posture of goods. This in-depth information provides the possibility for subsequent high-level applications such as target detection, AGV scheduling, and other in-depth location management functions.In addition, SEER Intelligent&#x27;s RoboView provides customers with vision AI solutions covering many applications in production, safety, management, and other links. The solution covers the preliminary research, mid-term R&amp;D, implementation, and product maintenance and upgrades in the later stage, helping customers improve production efficiency and accelerate the completion of intelligent production.<div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231d5d2966466003a30a138.jpg"/></div>

It is strongly advisable to collect this meaningful article about the in-depth introduction to Vision AI written by BU! From unlocking mobile phones, payment, and consumption to production applications in factories, the 3D vision has penetrated into every aspect of life. So what exactly is the 3D vision? What role does it play in the vision AI solution of SEER Intelligent?

Useful Knowledge! RoboView Technology Articles 3D Vision

<h3 style="text-align:start;" size="0" _root="undefined" __ownerid="undefined" __hash="undefined" __altered="false">Ⅰ. One-stop plan for teaching technical knowledge!</h3>Time for learning the SEER Intelligent&#x27;s technologies! There will be the latest technical information and comprehensive explanations. Regarding the overall solution, difficulties, and questions of four major BUs of SEER Intelligent, we will solve them all!We will introduce the new blockbuster, SRC-3000FS in three articles! As the first issue of the article, we will explore how to build a safe AMR controller based on the safety functions of SRC-3000FS! <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c8d6966466003a30a12e.png"/></div><h3> Ⅱ. The world&#x27;s first safe AMR controller </h3><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c90038ef13003b9bd0ba.png"/></div> SRC-3000FS is a safety controller independently developed by SEER, which integrates navigation and functional safety. It can provide mobile robots with basic functions such as map construction, positioning, and navigation, and advanced functions such as multi-machine scheduling, automatic charging, and 3D obstacle avoidance. The product complies with a number of international standard certifications and does not require a safety PLC. AMR has higher internal integration and more compact space, making the overall cost of building AMR lower and the process easier! <h3>Ⅲ. Five safety functions create a safe AMR</h3>1. Safe emergency stop functionIt is the most basic of all safety functions. The safe emergency stop functions are divided into two parts, the emergency stop input and emergency stop output. The dual-loop emergency stop input/output function with diagnostic function requires an external double-pole emergency stop button, and the drive needs to support the STO function.2. Safe speed monitoring functionOne or two safety encoders are used to monitor the moving speed of two-wheel differential AMR and single steering wheel AMR, including driving speed and rotation speed. When the speed exceeds the threshold, the drive and motor are controlled to have an emergency stop.3. Safe steering detection functionFor the single steering wheel AMR, the steering of the AMR is related to the direction of the rudder angle. The rudder angle direction is detected by the safety proximity switch to determine the left and right steering of the AMR.4. Safe stop function before obstaclesSRC-3000FS detects the moving speed and steering information of the AMR through the safety encoder and the safety proximity switch. And then it controls the safety laser to switch the safety protection zone through the safety DO. When an obstacle is detected in the safety zone, it controls the drive and the motor to have an emergency stop.5. Safe limit functionThe safety proximity switch is used to detect whether the linear moving mechanism has moved into the right position or collided, and the drive and motor will be controlled to stop running when in place. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c9e3966466003a30a12f.png"/></div> After the introduction, have you known more about SRC-3000FS? If you have any questions or other information you want to know, please leave a message in the background, and we will arrange for someone to answer it for you!

There will be the latest technical information and comprehensive explanations. Regarding the overall solution, difficulties, and questions of four major BUs of SEER Intelligent, we will solve them all!We will introduce the new blockbuster, SRC-3000FS in three articles! As the first issue of the article, we will explore how to build a safe AMR controller based on the safety functions of SRC-3000FS!

How Powerful is SRC-3000FS How Does It Build a Safe AMR

<h3 style="text-align:justify;" size="0" _root="undefined" __ownerid="undefined" __hash="undefined" __altered="false">RoboView | VisualVisual AI Solutions</h3>The RoboView VisualAI solution utilizes advanced backend machine vision algorithms (RoboView Server) and an intuitive and easy-to-use frontend interface (RoboView GUI) to provide clients with Visual AI in production, safety, management, and other application scenarios. The solution covers the entire process of preliminary research, mid-term R&amp;D, deployment, and later product maintenance and upgrades to help enhance production efficiency and accelerate intelligent transformation. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231b48558804b003a6b8221.png"/></div><h3>Solution Layout</h3><h3>RoboView  VisualVisual AI Solutions</h3>1. RoboView Server Algorithm Platform2. RoboView GUI Interactive Software3. Vision Server4. 2D/3D Camera5. Training Courses and After-Sales Services <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231b7ac966466003a30a123.jpg"/></div><h3> Technology</h3>#RoboView Server Algorithm PlatformRoboView Server is a powerful algorithm platform that includes a variety of machine vision algorithm packages. The platform supports the flexible integration of various vision algorithms to create easy-to-deploy and practical workflow solutions, and enables the efficient completion of production scenario tasks.Algorithms include: Cutting-edge deep learning (detection, positioning, segmentation, tracking), 3D recognition, positioning, posture evaluation, OCR, QR Code recognition, and hand-eye calibration algorithms used to link execution structures of robotic arms and AGVs.# RoboView GUI Interactive SoftwareRoboView GUI is interactive software that integrates deployment, configuration, rendering, and display. The software includes native support for SEER’s RoboView Server algorithm backend, along with multiple platforms (including Windows and Linux). <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c00d38ef13003b9bd0b4.png"/></div><h3> Functions and Application Scenarios</h3>RoboView help enhance production efficiency and accelerate intelligent transformation. Storage Site, personnel, and integrated AGV management.Management provide users with a more flexible and efficient experience. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c29a38ef13003b9bd0b5.jpg"/></div> #1 Efficient ManufacturingOn the production line, RoboView Server can connect to a variety of camera types (laser cameras, etc.) to capture goods in any position within the field of view. Once a 3D point cloud is acquired, recognition and positioning are performed to accurately calculate the item’s posture and shape (up to 0.1mm accuracy). This information is then sent to the robotic arm or AGV for precise picking, packaging, forklift, transportation, or specialized tasks such as smart glue application. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c302966466003a30a12a.jpg"/></div> #2 ManagementRoboView Server captures images from surveillance videos in real time, performs target recognition and tracking on personnel, goods, and AGVs, then binds them to specific planning areas to realize decision-making with operational logic. RoboView Server performs real-time analysis of personnel travel routes in task scenarios, trajectories of AGV routes, and all location statuses in the area, then sends this data to upper-layer systems such as the master control or dispatch system through theSEERstandard API to complete higher-level semantic tasks.   <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c34438ef13003b9bd0b6.jpg"/></div> #3  SafetyRoboView Server receives real-time video collected through a live camera feed, evaluates the site scenario through different vision algorithms, then sends data to the corresponding dispatch or master control system through the SEER Standard API to ensure the real-time safety of work and production. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c384966466003a30a12b.jpg"/></div><h3> Advantages </h3><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c3c238ef13003b9bd0b7.jpg"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231c3d0966466003a30a12c.jpg"/></div>

The RoboView VisualAI solution utilizes advanced backend machine vision algorithms (RoboView Server) and an intuitive and easy-to-use frontend interface (RoboView GUI) to provide clients with Visual AI in production, safety, management, and other application scenarios. The solution covers the entire process of preliminary research, mid-term R&D, deployment, and later product maintenance and upgrades to help enhance production efficiency and accelerate intelligent transformation.

RoboView | VisualVisual AI Solutions

<h3 style="text-align:justify;" size="0" _root="undefined" __ownerid="undefined" __hash="undefined" __altered="false">Digitalization Solutions for Manufacturing Enterprises</h3>SEER’s proprietary SEED product series includes a unified resource dispatch system (RDS), integrated warehousing logistics management system (WMS), and a data visualization system. SEED provides enterprises with warehouse operations management, and data visualization solutions across a wide range of automated. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231990c9f38b7003b28a146.jpg"/></div><h3> SEED RDS | Synergistic Resource Dispatch of Robotics and Automation Equipment</h3>The SEED RDS unifies the dispatch of robots and automation equipment, defines operational processes through low-code development, and is capable of optimizing task dispatch.#RDS Functionality <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/6231996758804b003a6b8214.jpg"/></div> #RDS Typical Scenarios <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623199949f38b7003b28a147.jpg"/></div><h3> SEED V | Data Visualization System</h3>SEED V utilizes data visualization technologies to realize the visualization of operational data and the 3D visualization of scenarios. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623199c558804b003a6b8215.jpg"/></div><div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/623199d99f38b7003b28a148.jpg"/></div><h3> SEED WMS | Integrated Warehousing Logistics Management System</h3>SEED WMS is a warehouse management system (WMS) for manufacturing and other enterprises engaged in the transfer of goods. The WMS realizes the manual and automated operations management of raw material warehouses, finished goods warehouses, and other scenarios. #WMS Functionality①Intuitive overview display of storage site status. Provides accurate logs and operational reports. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62319a439f38b7003b28a149.jpg"/></div> #WMS Functionality②Rich operational strategies and comprehensive early warning management <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62319a9158804b003a6b8217.jpg"/></div> #WMS Functionality③Collaborative Handheld Terminal Operations: When used to scan QR codes, PDA handheld terminals can accurately and efficiently complete examination, quality inspection, inventory, and other tasks. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62319aca9f38b7003b28a14a.jpg"/></div> #WMS Primary OperationsDigitalization Solutions for Manufacturing Enterprises. SEER’s proprietary SEED product series includes a unified resource dispatch system (RDS), integrated warehousing logistics management system (WMS), and a data visualization system. SEED provides enterprises with warehouse operations management, and data visualization solutions across a wide range of automated logistics scenarios. SEED improves deployment convenience, operational simplicity, and manufacturing efficiency. <div class="media-wrap image-wrap align-center" style="text-align:center"><img class="media-wrap image-wrap align-center" src="//cdn1-1304552240.cos.ap-shanghai.myqcloud.com/static/62319afd58804b003a6b8218.jpg"/></div>

SEER’s proprietary SEED product series includes a unified resource dispatch system (RDS), integrated warehousing logistics management system (WMS), and a data visualization system. SEED provides enterprises with warehouse operations management, and data visualization solutions across a wide range of automated.