Learning Dexterous Prehensile Manipulation Skills from State-only Observations through Imitation and Emulation

A two-stage framework called CIMER that learns dexterous prehensile manipulation skills from state-only observations by first imitating the interdependent motions of the robot hand and object, and then refining the hand motion to emulate the desired object motion.