Abstract: Imitation Learning (IL) is a promising paradigm for learning dynamic manipulation of deformable objects since it does not depend on difficult-to-create accurate simulations of such objects.
Abstract: The dynamic and unknown human behaviors in human–robot interaction make it challenging for collision-free robot manipulation. Although sampling-based model predictive control (MPC) has ...
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