Human-robot Interaction Learning
Human-Robot Interaction Learning is an academic research area within Robot Learning that focuses on enabling robots to acquire skills and behaviors through dynamic, bidirectional interactions with humans, distinguishing itself by integrating human feedback, social cues, and collaborative strategies into the learning process.
1.7K
Publications
82.6K
Citations
4.5K
Authors
1K
Institutions
Publications per year
2017–2026
804
1.7K
Learning and Reproduction of Gestures by Imitation
Sylvain Calinon, Florent D'halluin, Eric L. Sauser et al. · IEEE Robotics & Automation Magazine · 2010 · 455 citations · Full text
1–5 of 1.7K
4.5K
30
h-index
22
h-index
20
h-index
18
h-index
18
h-index
1–5 of 4.5K
1K
Massachusetts Institute of Technology
Cambridge, United States
33 h-index
119 publications
9.6K citations
Carnegie Mellon University
Pittsburgh, United States
29 h-index
120 publications
6.3K citations

Italian Institute of Technology
Genoa, Italy
29 h-index
142 publications
9.4K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
28 h-index
112 publications
8.6K citations

Centre National de la Recherche Scientifique
Paris, France
24 h-index
121 publications
4.5K citations
The University of Osaka
Osaka, Japan
24 h-index
98 publications
4.3K citations
Georgia Institute of Technology
Atlanta, United States
24 h-index
104 publications
6.1K citations
Stanford University
Stanford, United States
23 h-index
123 publications
9K citations
1–8 of 1K
Repository · 55 publications · 3K citations
25
h-index
35 publications · 1.1K citations
21
h-index
37 publications · 1.4K citations
21
h-index
TAMD · 21 publications · 1.2K citations
20
h-index
25 publications · 1.5K citations
20
h-index
1–5