Robotic Skill Learning
Robotic Skill Learning is a methodological framework within robot learning that enables a robot to acquire task-specific behaviors through generalized experience, distinguished from other learning paradigms by its focus on mastering reusable, adaptive motor skills from limited interaction data or demonstrations.
525
Publications
30.9K
Citations
1.6K
Authors
420
Institutions
Publications per year
2017–2026
254
525
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
Shixiang Gu, Ethan Holly, Timothy Lillicrap et al. · 2017 · 1.5K citations
Learning and generalization of motor skills by learning from demonstration
Peter Pástor, H. Hoffmann, Tamim Asfour et al. · 2009 · 710 citations
1–5 of 525
1.6K
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420

Italian Institute of Technology
Genoa, Italy
20 h-index
74 publications
5K citations
Massachusetts Institute of Technology
Cambridge, United States
19 h-index
47 publications
3.6K citations
Carnegie Mellon University
Pittsburgh, United States
16 h-index
41 publications
1.8K citations

Technische Universität Darmstadt
Darmstadt, Germany
15 h-index
68 publications
3.8K citations

University of Massachusetts Amherst
Amherst Center, United States
15 h-index
32 publications
2.9K citations
University of Southern California
Los Angeles, United States
15 h-index
33 publications
6.2K citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
14 h-index
20 publications
1.8K citations

South China University of Technology
Guangzhou, China
14 h-index
30 publications
3.8K citations
1–8 of 420
Repository · 44 publications · 2.7K citations
25
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15 publications · 538 citations
15
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15 publications · 471 citations
14
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TCDS · 9 publications · 324 citations
9
h-index
8 publications · 134 citations
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