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Efficient Representations of Object Geometry for Reinforcement Learning
  of Interactive Grasping Policies

Efficient Representations of Object Geometry for Reinforcement Learning of Interactive Grasping Policies

20 November 2022
Malte Mosbach
Sven Behnke
ArXivPDFHTML

Papers citing "Efficient Representations of Object Geometry for Reinforcement Learning of Interactive Grasping Policies"

3 / 3 papers shown
Title
Volumetric-based Contact Point Detection for 7-DoF Grasping
Volumetric-based Contact Point Detection for 7-DoF Grasping
Junhao Cai
Jingcheng Su
Zi-Ye Zhou
Hui Cheng
Qifeng Chen
M. Y. Wang
3DPC
24
9
0
14 Sep 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
108
535
0
24 Sep 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
1