Human-in-the-loop Robot Learning
Human-In-The-Loop Robot Learning is a robotic learning framework in which human expertise, feedback, or intervention is integrated as an active component during the learning process to improve data efficiency and ensure safety, distinguishing it from fully autonomous or purely data-driven approaches.
42
Publications
2.2K
Citations
176
Authors
80
Institutions
Publications per year
2017–2026
24
Variants
Hitl Robot Learning
42
A survey of human-in-the-loop for machine learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun et al. · Future Generation Computer Systems · 2022 · 669 citations · Full text
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The University of Osaka
Osaka, Japan
3 h-index
6 publications
328 citations

Italian Institute of Technology
Genoa, Italy
3 h-index
8 publications
166 citations
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
165 citations
Özyeğin University
Istanbul, Türkiye
2 h-index
2 publications
41 citations
TU Bergakademie Freiberg
Freiberg, Germany
2 h-index
3 publications
162 citations
Jožef Stefan Institute
Ljubljana, Slovenia
2 h-index
2 publications
41 citations
Bristol Robotics Laboratory
Bristol, United Kingdom
2 h-index
3 publications
144 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
91 citations
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Repository · 4 publications · 87 citations
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3 publications · 77 citations
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1 publications · 12 citations
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1 publications · 46 citations
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1 publications · 52 citations
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