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[T-RO 2024] PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration

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Ruan, S., Liu, W., Wang, X., Meng, X. and Chirikjian, G.S., 2024. PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration. IEEE Transactions on Robotics. doi: 10.1109/TRO.2024.3390052  

https://ieeexplore.ieee.org/document/10502164