PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint).

Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory S. Chirikjian

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