Planning with a Receding Horizon for Manipulation in Clutter using a
Learned Value Function

Planning with a Receding Horizon for Manipulation in Clutter using a Learned Value Function

21 March 2018

Rafael Papallas

Matteo Leonetti

Papers citing "Planning with a Receding Horizon for Manipulation in Clutter using a Learned Value Function"

9 / 9 papers shown

Title
Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation Kejia Ren Gaotian Wang A. S. Morgan Lydia E. Kavraki Kaiyu Hang 81 1 0 30 Sep 2024
Randomized Physics-based Motion Planning for Grasping in Cluttered and Uncertain Environments M. uddin Mark Moll Lydia E. Kavraki J. Rosell 38 88 0 27 Nov 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 102 1,363 0 18 Oct 2017
Deep Learning Assisted Heuristic Tree Search for the Container Pre-marshalling Problem André Hottung Shunji Tanaka Kevin Tierney 40 98 0 28 Sep 2017
Thinking Fast and Slow with Deep Learning and Tree Search Thomas W. Anthony Zheng Tian David Barber 95 395 0 23 May 2017
Deep Q-learning from Demonstrations Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul ... Gabriel Dulac-Arnold Ian Osband J. Agapiou Joel Z Leibo A. Gruslys OffRL 52 155 0 12 Apr 2017
Feedback Control of the Pusher-Slider System: A Story of Hybrid and Underactuated Contact Dynamics F. Hogan Alberto Rodriguez 61 116 0 24 Nov 2016
Team Delft's Robot Winner of the Amazon Picking Challenge 2016 Carlos Hernandez M. Bharatheesha W. Ko H. Gaiser Jethro Tan ... Jihong Ju Xander Gerrmann Ronald M. Ensing J. Frankenhuyzen M. Wisse 49 159 0 18 Oct 2016
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 123 12,227 0 19 Dec 2013