Robotic Manipulation Learning
Robotic Manipulation Learning is a methodological framework within self-supervised robot learning that enables robots to acquire dexterous control policies for interacting with objects in unstructured environments through autonomous data generation and task-relevant representation learning.
496
Publications
31.9K
Citations
1.5K
Authors
310
Institutions
Publications per year
2017–2026
343
496
Domain randomization for transferring deep neural networks from simulation to the real world
Josh Tobin, Rachel Fong, Alex Ray et al. · 2017 · 2.8K citations
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen et al. · arXiv (Cornell University) · 2018 · 2K citations · Full text
Solving Rubik's Cube with a Robot Hand
Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej et al. · arXiv (Cornell University) · 2019 · 633 citations · Full text
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Tony Z. Zhao, Vikas Kumar, Sergey Levine et al. · 2023 · 448 citations · Full text
1–5 of 496
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310
University of California, Berkeley
Berkeley, United States
34 h-index
213 publications
25.1K citations
Google (United States)
Mountain View, United States
18 h-index
147 publications
14.6K citations
Massachusetts Institute of Technology
Cambridge, United States
17 h-index
53 publications
4.6K citations
Stanford University
Stanford, United States
16 h-index
111 publications
9.6K citations
University of Washington
Seattle, United States
15 h-index
51 publications
4K citations
Carnegie Mellon University
Pittsburgh, United States
15 h-index
53 publications
4K citations

University of Freiburg
Freiburg im Breisgau, Germany
14 h-index
36 publications
2.3K citations
Georgia Institute of Technology
Atlanta, United States
12 h-index
41 publications
1.2K citations
1–8 of 310
Repository · 130 publications · 8.1K citations
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32 publications · 1.7K citations
22
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15 publications · 1K citations
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Conference · 8 publications · 449 citations
8
h-index
IJRR · 6 publications · 936 citations
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