On April 25-26, the first embodied AI robot sports meeting was held in Huishan District, Wuxi City, Jiangsu Province, China.

As China’s first comprehensive sports competition for embodied AI humanoid robots, it breakthroughly combined "sports competition" with "technological application," gathering top domestic intelligent robotics companies to compete and showcase the technological breakthroughs and real-world value of embodied AI robots.

Whether in sports events such as sprinting, cross-country running, football, basketball, and dance or in practical applications like material handling, intelligent grasping, and indoor rescue, these scenarios reflect the core capabilities of intelligent robots—motion control, environmental perception, and decision-making, all of which rely on the precision of robotic control systems.

As the world’s largest intelligent robotics company with control systems at the core, SEER Robotics showcased its intelligent robot controllers in the core components exhibition area of the sports meeting. It empowers embodied AI robots with the core kinetic energy, functioning as the “Robot Brain.”

The controller products we brought this time cover full-scenario demands from industrial applications to embodied AI, helping to build your own robot fleet within days!

SRC-5000: The world’s first all-in-one embodied AI controller, achieving full-body control for the first time, breaking through the hand-eye-foot coordination bottleneck, and establishing a complete "brain + cerebellum" perception-decision system.

SRC-3000 Series: The industry’s first fully self-developed controller certified by SGS TÜV SAAR for functional safety in China, innovatively integrating safety modules into navigation controllers.

SRC-2000 Series: A versatile industrial-grade intelligent robot controller supporting various motion models and meeting diverse application needs, with over 1,000 different types of robot development cases.

SRC-880: An ultra-cost-effective controller that significantly reduces robot development costs and helps more companies build their own robot products.