Sim2real Transfer
Sim2Real Transfer is a methodological framework in LiDAR perception that enables the adaptation of models trained in simulated environments to perform effectively in real-world sensing conditions by bridging the domain gap between synthetic and physical sensor data.
35
Publications
2.2K
Citations
182
Authors
66
Institutions
Publications per year
2017–2026
35
Parents
35
Solving Rubik's Cube with a Robot Hand
Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej et al. · arXiv (Cornell University) · 2019 · 633 citations · Full text
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu, Ziyu Wang, Josh Merel et al. · 2018 · 217 citations · Full text
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu, Ziyu Wang, Josh Merel et al. · arXiv (Cornell University) · 2018 · 116 citations · Full text
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66
Siemens (Belgium)
Beersel, Belgium
2 h-index
6 publications
150 citations
Google DeepMind (United Kingdom)
London, United Kingdom
2 h-index
21 publications
2.6K citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
6 publications
213 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
5 publications
97 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
90 citations
Meta (United States)
Menlo Park, United States
2 h-index
5 publications
153 citations
Southwest University of Science and Technology
Mianyang, China
1 h-index
1 publications
37 citations
Technical University of Munich
Munich, Germany
1 h-index
4 publications
120 citations
1–8 of 66
Repository · 8 publications · 983 citations
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2 publications · 50 citations
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1 publications · 30 citations
1
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Conference · 1 publications · 15 citations
1
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1 publications · 60 citations
1
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