Constrained Probabilistic Movement Primitives for Robot Trajectory
Adaptation

v1v2v3 (latest)

Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation

29 January 2021

Patrick van der Smagt

ArXiv (abs)PDF HTML

Papers citing "Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation"

8 / 8 papers shown

Title
A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing Alireza Barekatain Hamed Habibi Holger Voos 62 3 0 11 Jun 2024
Planning Robot Placement for Object Grasping Manish Saini Melvin Paul Jacob Minh Nguyen Nico Hochgeschwender 65 0 0 26 May 2024
Learning Manipulation Tasks in Dynamic and Shared 3D Spaces Hariharan Arunachalam Marc Hanheide Sariah Mghames 55 0 0 26 Apr 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 77 0 0 21 Dec 2023
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills Hector M. Perez-Villeda J. Piater Matteo Saveriano 43 0 0 04 Nov 2023
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration Sipu Ruan Weixiao Liu Xiaoli Wang Xin Meng Gregory Chirikjian 48 7 0 25 May 2023
A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization João Silvério Yanlong Huang 27 6 0 18 Sep 2022
Gaussian-Process-based Robot Learning from Demonstration Miguel Arduengo Adrià Colomé J. Lobo-Prat Luis Sentis Carme Torras 49 17 0 23 Feb 2020