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Yobotics' Xingtai Taishan robot autonomously climbs over 3,100 stone steps on Mount Tai
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Yobotics' humanoid robot "Xingtai Taishan" completed the passage of more than 3,100 stone steps on Mount Tai fully autonomously, relying on its own perception and decision-making systems and without external remote guidance, at the first CMG World Robot Mount Tai Climbing Competition. According to Yobotics, the robot is equipped with multimodal perception and can autonomously identify step boundaries, road surface textures and obstacles, dynamically build a map of the mountain path and plan routes; under sudden changes in step height differences and landing impacts, it autonomously corrects its body posture, and copes with joint temperature rise and endurance issues during long-distance travel. The Yobotics team said that this competition is a real-world verification of its full-stack self-developed approach, and that it will subsequently advance deployment for scenarios such as mountain inspection and emergency rescue.
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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.
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