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Reinforcement Learning Based Pushing and Grasping Objects from
  Ungraspable Poses

Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses

26 February 2023
Hao Zhang
Hongzhuo Liang
Lin Cong
Jianzhi Lyu
Long Zeng
Pingfa Feng
Jian-Wei Zhang
    SSL
    DRL
ArXivPDFHTML

Papers citing "Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses"

4 / 4 papers shown
Title
Demonstrating DVS: Dynamic Virtual-Real Simulation Platform for Mobile Robotic Tasks
Demonstrating DVS: Dynamic Virtual-Real Simulation Platform for Mobile Robotic Tasks
Zijie Zheng
Zeshun Li
Yunpeng Wang
Qinghongbing Xie
Long Zeng
63
0
0
26 Apr 2025
Harnessing the Synergy between Pushing, Grasping, and Throwing to
  Enhance Object Manipulation in Cluttered Scenarios
Harnessing the Synergy between Pushing, Grasping, and Throwing to Enhance Object Manipulation in Cluttered Scenarios
H. Kasaei
M. Kasaei
45
1
0
25 Feb 2024
Self-Supervised Learning for Joint Pushing and Grasping Policies in
  Highly Cluttered Environments
Self-Supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang
Kamal Mokhtar
C. Heemskerk
H. Kasaei
SSL
18
8
0
04 Mar 2022
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
162
275
0
07 Jul 2017
1