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

25 May 2023

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

5 / 5 papers shown

Title
The Foundational Pose as a Selection Mechanism for the Design of Tool-Wielding Multi-Finger Robotic Hands Sunyu Wang Jean H. Oh N. S. Pollard 26 0 0 21 Sep 2024
A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing Alireza Barekatain Hamed Habibi Holger Voos 34 3 0 11 Jun 2024
Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures Anqing Duan Wanli Liuchen Jinsong Wu Raffaello Camoriano Lorenzo Rosasco D. Navarro-Alarcon 30 0 0 21 Dec 2023
Learning Task-Parameterized Skills from Few Demonstrations Jihong Zhu Michael Gienger Jens Kober 25 22 0 24 Jan 2022
Dynamic Movement Primitives in Robotics: A Tutorial Survey Matteo Saveriano Fares J. Abu-Dakka Aljaz Kramberger L. Peternel 40 163 0 07 Feb 2021