Yang Sicheng of Yuansheng Intelligence: before embodied models improve, dexterous hands need to compete on performance
源升智能杨思成：具身模型能力突破之前，灵巧手要先卷性能｜物理AI 50人
What happened
Yuansheng Intelligence founder Yang Sicheng says that when models are not capable enough, hardware must be highly capable. Dexterous hands need to score above 80 on reliability, dexterity, payload, dynamic response, touch, and precision. Its in-house Apex Hand uses a hybrid in-palm tendon drive with 21 degrees of freedom, a maximum active payload of 30 kilograms per hand, and a 0.2-second open-close time. Teams using it won the gold, silver, and bronze heavyweight medals in weightlifting and tug-of-war at the 2026 World Humanoid Robot Games in August.
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