PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration

Sipu Ruan, Weixiao Liu, Xiaoli Wang +2

This paper proposes a learning-from-demonstration method using probability densities on the workspaces of robot manipulators. The method, named "PRobabilistically-Informed Motion P…