
World's First Full Match of Autonomous Table Tennis by a Humanoid Robot Debuts at 2026 World Robot Conference, ChaoWei Power KAI Full-Stack Embodied Intelligence Makes a Strong Debut
ChaoWei Power showcased the world's first autonomous table tennis match by a humanoid robot at the 2026 World Robot Conference, and released the KAI World Model and full-stack embodied intelligence product matrix.
ChaoWei Power demonstrated the capability of a humanoid robot to autonomously complete a table tennis match at the conference, and launched a full-stack embodied intelligence solution including the KAI World Model. This marks substantial progress in robotic operation capabilities within high-speed dynamic environments.
Table tennis places extremely high demands on a robot's perception, decision-making, and control speed. Achieving an autonomous full match means that underlying algorithms and hardware synergy have reached a new height. As the core brain, the KAI World Model can process complex scene data, providing real-time decision support for the robot, representing a key breakthrough in the implementation of embodied intelligence technology.
The KAIBot body showcased this time possesses 117 full-body degrees of freedom, paired with ultra-high degrees of freedom dexterous hands, demonstrating highly anthropomorphic motion potential. This high degrees of freedom design enables the robot to adapt to more diverse physical interaction tasks, laying the hardware foundation for future applications in fields such as industry and services.
The combination of embodied intelligence and large models is accelerating the transition from laboratories to real-world scenarios. The display of such high-dynamic interaction capabilities helps verify the generalization ability of AI models in the physical world, promoting the evolution of humanoid robots from single-function devices to general intelligent agents, and accelerating the commercialization process.
This page provides an editorial summary based on publicly available information. It is not a republished article. Use the source link below for the original report.