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Learning Manipulation States and Actions for Efficient Non-prehensile
  Rearrangement Planning

Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning

11 January 2019
Joshua A. Haustein
Isac Arnekvist
J. A. Stork
Kaiyu Hang
Danica Kragic
ArXivPDFHTML

Papers citing "Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning"

2 / 2 papers shown
Title
Effective and Robust Non-Prehensile Manipulation via Persistent Homology
  Guided Monte-Carlo Tree Search
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
26
2
0
04 Oct 2022
Object Rearrangement Using Learned Implicit Collision Functions
Object Rearrangement Using Learned Implicit Collision Functions
Michael Danielczuk
Arsalan Mousavian
Clemens Eppner
Dieter Fox
3DPC
13
78
0
21 Nov 2020
1