Human-robot Team Learning
Human-Robot Team Learning is a multi-agent learning framework in which humans and robots jointly adapt their behaviors through iterative interaction, distinguished by bidirectional learning processes that integrate human cognitive and social cues into the robot’s decision-making models to achieve shared goals.
191
Publications
8.9K
Citations
545
Authors
201
Institutions
Publications per year
2017–2026
80
191
Human-robot interaction in handing-over tasks
Markus A. Huber, Markus Rickert, Alois Knoll et al. · 2008 · 211 citations · Full text
Engineering, Robotics Engineering, Human-robot Interaction +16
Interaction primitives for human-robot cooperation tasks
Heni Ben Amor, Gerhard Neumann, Sanket Kamthe et al. · 2014 · 200 citations · Full text
Engineering, Robotics Engineering, Human-robot Interaction +16
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201
Carnegie Mellon University
Pittsburgh, United States
11 h-index
33 publications
1.2K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
24 publications
2.6K citations
The University of Osaka
Osaka, Japan
8 h-index
17 publications
737 citations
Clemson University
Clemson, United States
5 h-index
19 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
18 publications
939 citations
University of Southern California
Los Angeles, United States
5 h-index
13 publications
745 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
14 publications
660 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
4 h-index
6 publications
237 citations
1–8 of 201
8 publications · 632 citations
8
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6 publications · 629 citations
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5 publications · 163 citations
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4 publications · 112 citations
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4 publications · 122 citations
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