Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement
Learning

Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning

15 March 2018

Danica Kragic

Papers citing "Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning"

14 / 14 papers shown

Title
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation Wenxuan Li Hang Zhao Zhiyuan Yu Yu Du Qin Zou Ruizhen Hu K. Xu SSL 83 1 0 23 Apr 2025
ReloPush: Multi-object Rearrangement in Confined Spaces with a Nonholonomic Mobile Robot Pusher Jeeho Ahn Christoforos Mavrogiannis 80 1 0 13 Mar 2025
Pre- and post-contact policy decomposition for non-prehensile manipulation with zero-shot sim-to-real transfer Minchan Kim Junhyek Han Jaehyung Kim Beomjoon Kim 27 17 0 06 Sep 2023
Towards Autonomous Selective Harvesting: A Review of Robot Perception, Robot Design, Motion Planning and Control S. VishnuRajendran Bappaditya Debnath Bappaditya Debnath Sariah Mghames Willow Mandil Soran Parsa Simon Parsons Amir M. Ghalamzan-E. 32 26 0 19 Apr 2023
Effective and Robust Non-Prehensile Manipulation via Persistent Homology Guided Monte-Carlo Tree Search Ewerton R. Vieira Kai-Xin Gao Daniel Nakhimovich Kostas E. Bekris Jingjin Yu 34 2 0 04 Oct 2022
Going In Blind: Object Motion Classification using Distributed Tactile Sensing for Safe Reaching in Clutter Rachel Thomasson Etienne Roberge M. Cutkosky Jean-Philippe Roberge 44 5 0 30 Sep 2022
Persistent Homology for Effective Non-Prehensile Manipulation Ewerton R. Vieira Daniel Nakhimovich Kai-Xin Gao Rui Wang Jingjin Yu Kostas E. Bekris 16 20 0 07 Feb 2022
Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined Spaces Rui Wang Yinglong Miao Kostas E. Bekris 52 26 0 06 Oct 2021
Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills Sangbeom Park Yoonbyung Chai Sunghyun Park Jeongeun Park Kyungjae Lee Sungjoon Choi SSL 36 5 0 27 Sep 2021
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search Fan Bai Fei Meng Jianbang Liu Jiankun Wang Max Meng 23 6 0 18 Sep 2021
Object Rearrangement Using Learned Implicit Collision Functions Michael Danielczuk Arsalan Mousavian Clemens Eppner Dieter Fox 3DPC 18 79 0 21 Nov 2020
Learning to Slide Unknown Objects with Differentiable Physics Simulations Changkyu Song Abdeslam Boularias 35 39 0 11 May 2020
Identifying Mechanical Models through Differentiable Simulations Changkyu Song Abdeslam Boularias 27 12 0 11 May 2020
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation Weihao Yuan Kaiyu Hang Haoran Song Danica Kragic M. Y. Wang J. A. Stork 19 26 0 12 Sep 2018