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A deterministic 25 Hz tactile reflex controller is used as a collection-time teacher that shapes grasping behavior in demonstrations for policy learning, while disturbance rejection remains controller-dependent, revealing the boundary of tactile-free policy.
Humanoid robots can now adapt to complex terrains in real-time by leveraging detailed plantar pressure feedback, achieving remarkable performance even on unseen surfaces.
