"PRIMP: PRobabilistically-Informed Motion Primitives for Efficient ..."

Sipu Ruan et al. (2024)

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DOI: 10.1109/TRO.2024.3390052

access: open

type: Journal Article

metadata version: 2024-06-08

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Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory S. Chirikjian:
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning From Demonstration. IEEE Trans. Robotics 40: 2868-2887 (2024)

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