Learning Kinematic Feasibility for Mobile Manipulation through Deep
Reinforcement Learning

Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning

13 January 2021

Daniel Honerkamp

Tim Welschehold

Abhinav Valada

Papers citing "Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning"

7 / 7 papers shown

Title
Collective Intelligence for 2D Push Manipulations with Mobile Robots So Kuroki T. Matsushima Jumpei Arima Hiroki Furuta Yutaka Matsuo S. Gu Yujin Tang 83 5 0 28 Jan 2025
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation Fei Xia Chengshu Li Roberto Martín-Martín Or Litany Alexander Toshev Silvio Savarese 37 77 0 18 Aug 2020
Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning Julien Kindle Fadri Furrer Tonci Novkovic Jen Jen Chung Roland Siegwart Juan I. Nieto OffRL 59 29 0 25 Feb 2020
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li Fei Xia R. M. Martin Silvio Savarese 44 100 0 24 Oct 2019
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 153 5,121 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 225 8,236 0 04 Jan 2018
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 50 1,076 0 16 Sep 2016