Robotic Skill Generalization
Robotic Skill Generalization is a computational framework that enables a robot to apply learned motor skills to novel tasks, environments, or conditions beyond those encountered during training, thereby distinguishing it from task-specific robotic control strategies.
81
Publications
4.3K
Citations
462
Authors
94
Institutions
Publications per year
2017–2026
44
81
RT-1: Robotics Transformer for Real-World Control at Scale
Anthony Brohan, Noah Brown, Justice Carbajal et al. · 2023 · 520 citations · Full text
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94

Technische Universität Darmstadt
Darmstadt, Germany
5 h-index
11 publications
1.9K citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
4 h-index
7 publications
1.4K citations

Sorbonne Université
Paris, France
4 h-index
10 publications
209 citations
Institut Systèmes Intelligents et de Robotique
Paris, France
4 h-index
10 publications
209 citations

Italian Institute of Technology
Genoa, Italy
3 h-index
9 publications
498 citations

South China University of Technology
Guangzhou, China
3 h-index
10 publications
1.8K citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
10 publications
208 citations
University of California, Berkeley
Berkeley, United States
3 h-index
12 publications
546 citations
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Repository · 7 publications · 517 citations
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5 publications · 89 citations
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3 publications · 73 citations
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JR · 2 publications · 24 citations
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2 publications · 280 citations
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