Dexterous Robot Manipulation from Human Demonstrations via Contact-Anchored Retargeting and Residual Policy Learning
A three-stage pipeline that converts human motion-capture recordings into dexterous robot policies with no real-robot training data is built, which transfers one human dataset to four morphologically distinct robot hands, and executes four contact-rich bimanual tasks on physical hardware with zero real-robot training d...