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Notes on dexterous manipulation
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A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation
Researchers introduce REGRIND, a method that enables robots to learn dexterous manipulation policies from a single human demonstration. The method retargets hand-object motion to a robot reference and trains an RL…
CoorDex: Coordinating Body and Hand Priors for Continuous Dexterous Humanoid Loco-Manipulation
Researchers introduce CoorDex, a learning pipeline that enables high-DoF dexterous loco-manipulation on the move for humanoid robots. The pipeline converts high-dimensional body and dexterous hand control into…
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