Abstract: In this article, the adaptive attitude-tracking problem of a rigid body is investigated, where the input and output are transmitted via a network. To reduce the communication burden in a ...
Reinforcement Learning-Based Whole-Body Motion Control for Humanoids With Position-Controlled Joints
Abstract: Reinforcement learning (RL) holds great promise for generating dynamic whole-body motions on humanoid robots, but its real-world application is hindered by the significant sim-to-real gap ...
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