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Yobotics' "Xingzhe Taishan" autonomously climbs more than 3,100 stone steps on Mount Tai

Yobotics' "Xingzhe Taishan" humanoid robot fully autonomously traversed more than 3,100 stone steps on Mount Tai at the first CMG World Robot Mount Tai Climbing Competition, relying on its own perception and decision-making systems. The robot is equipped with multimodal perception, autonomously identifies step edges and obstacles, builds a map of the mountain path and plans its route, and then dynamically adjusts stride length, step height and landing posture through its self-developed joint modules and motion-control cerebellum. The team said the competition was a real-world validation of its full-stack self-development approach, and that it will next advance deployment in scenarios such as mountain inspection and emergency rescue.

Part of the event: Yobotics' Xingtai Taishan robot autonomously climbs over 3,100 stone steps on Mount Tai

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