Orientation Probabilistic Movement Primitives on Riemannian Manifolds

28 October 2021

Papers citing "Orientation Probabilistic Movement Primitives on Riemannian Manifolds"

9 / 9 papers shown

Title
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 464 4 0 12 Oct 2024
Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 59 86 0 04 Dec 2020
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks Leonel Rozo Meng Guo A. Kupcsik M. Todescato Philipp Schillinger ... M. Ochs Markus Spies Nicolai Waniek Patrick Kesper Mathias Buerger 56 18 0 24 Aug 2020
Merging Position and Orientation Motion Primitives Matteo Saveriano Felix Franzel Dongheui Lee 62 54 0 25 Mar 2020
Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance M. A. Rana Daphne Chen S. Ahmadzadeh Jacob Williams Vivian Chu Sonia Chernova 48 16 0 07 Nov 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier Leonel Rozo Sylvain Calinon Mathias Bürger 65 54 0 11 Oct 2019
Towards Orientation Learning and Adaptation in Cartesian Space Yanlong Huang Fares J. Abu-Dakka João Silvério D. Caldwell 61 54 0 09 Jul 2019
A micro Lie theory for state estimation in robotics J. Solà Jeremie Deray Dinesh Atchuthan 48 412 0 04 Dec 2018
Kernelized Movement Primitives Yanlong Huang Leonel Rozo João Silvério D. Caldwell 67 220 0 29 Aug 2017