全球首个人形机器人自主乒乓球完整对局亮相2026世界机器人大会，超维动力KAI全栈具身智能硬核登场
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Merged summary
TL;DR - At the 2026 World Robot Conference, KAI showcased a full-stack embodied-AI platform led by SMASH 2.0, which enables humanoid robots to autonomously play complete table-tennis matches. The demonstration highlights integrated real-time perception, planning, whole-body control, robot hardware, data collection, and deployment infrastructure.
- SMASH 2.0 performs millisecond-scale ball detection, trajectory prediction, action planning, and coordinated whole-body control, including autonomous serves, returns, and multiple shot types.
- Its core algorithms can run across different robot bodies, supporting a claimed “one brain, many forms” deployment model.
- The KAI world model, pretrained on millions of videos, supports virtual-world generation and reconstruction alongside closed-loop reinforcement learning for transfer to physical robots.
- The broader stack includes the 117-degree-of-freedom KAIBot, a 37-degree-of-freedom dexterous hand, first-person motion-data collection hardware, and infrastructure spanning training, simulation, deployment, and fleet management.
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全球首个人形机器人自主乒乓球完整对局亮相2026世界机器人大会，超维动力KAI全栈具身智能硬核登场
TL;DR - At the 2026 World Robot Conference, KAI showcased a full-stack embodied-AI platform led by SMASH 2.0, which enables humanoid robots to autonomously play complete table-tennis matches. The demonstration highlights integrated real-time perception, planning, whole-body control, robot hardware, data collection, and deployment infrastructure.
- SMASH 2.0 performs millisecond-scale ball detection, trajectory prediction, action planning, and coordinated whole-body control, including autonomous serves, returns, and multiple shot types.
- Its core algorithms can run across different robot bodies, supporting a claimed “one brain, many forms” deployment model.
- The KAI world model, pretrained on millions of videos, supports virtual-world generation and reconstruction alongside closed-loop reinforcement learning for transfer to physical robots.
- The broader stack includes the 117-degree-of-freedom KAIBot, a 37-degree-of-freedom dexterous hand, first-person motion-data collection hardware, and infrastructure spanning training, simulation, deployment, and fleet management.