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Constraint-Decomposed Impedance Control from Generative Policy for Articulated Object Manipulation
Articulated object manipulation tasks such as opening doors, tightening bolts, and pulling drawers impose kinematic constraints on a robot end-effector's motion that neural policies may fail to satisfy. Unlike hybrid force-position control that strictly separates force and position control into orth
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