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Self-Adapting Recurrent Models for Object Pushing from Learning in
  Simulation

Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
27 July 2020
Lin Cong
Michael Görner
Philipp Ruppel
Hongzhuo Liang
Norman Hendrich
Jianwei Zhang
ArXiv (abs)PDFHTML

Papers citing "Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation"

8 / 8 papers shown
Model-Based Adaptive Precision Control for Tabletop Planar Pushing Under Uncertain Dynamics
Model-Based Adaptive Precision Control for Tabletop Planar Pushing Under Uncertain Dynamics
Aydin Ahmadi
Baris Akgun
145
0
0
04 Oct 2025
Precision-Focused Reinforcement Learning Model for Robotic Object
  Pushing
Precision-Focused Reinforcement Learning Model for Robotic Object Pushing
Lara Bergmann
David P. Leins
R. Haschke
Klaus Neumann
252
8
0
13 Nov 2024
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics SimulatorsIEEE International Conference on Robotics and Automation (ICRA), 2024
Fabian Baumeister
Lukas Mack
Joerg Stueckler
383
3
0
20 Sep 2024
Non-Prehensile Aerial Manipulation using Model-Based Deep Reinforcement
  Learning
Non-Prehensile Aerial Manipulation using Model-Based Deep Reinforcement Learning
Cora A. Dimmig
Marin Kobilarov
196
2
0
01 Jul 2024
Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing
  Ancillary Controllers
Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary ControllersIEEE Robotics and Automation Letters (RA-L), 2024
Elia Trevisan
Javier Alonso-Mora
341
38
0
17 Jan 2024
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for
  Tactile Pushing
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile PushingIEEE Robotics and Automation Letters (RA-L), 2023
Max Yang
Yijiong Lin
Alex Church
John Lloyd
Dandan Zhang
David A.W. Barton
Nathan Lepora
OffRL
290
24
0
26 Jul 2023
Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations
Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations
Corrado Pezzato
C. Salmi
Max Spahn
Elia Trevisan
Javier Alonso-Mora
C. H. Corbato
422
33
0
18 Jul 2023
Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid
  Position/Force Assembly Skill for Contact-Rich Tasks
Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich TasksIEEE International Conference on Robotics and Biomimetics (ROBIO), 2021
Yunlei Shi
Zhaopeng Chen
Lin Cong
Yansong Wu
Martin Craiu-Müller
C. Yuan
Chunyang Chang
Lei Zhang
Jianwei Zhang
125
2
0
12 Aug 2022
1
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