Personalized Robot Behavior Learning
Personalized Robot Behavior Learning is a computational framework within human-robot interaction that enables a robot to adapt its behavioral responses to individual users through learning mechanisms informed by user-specific interaction data, thereby differentiating it from generalized robotic learning approaches by its focus on individualized, context-sensitive behavioral adaptation.
13
Publications
370
Citations
44
Authors
20
Institutions
Publications per year
2017–2026
9
13
Marcos Maroto‐Gómez, Sara Marqués-Villarroya, José Carlos Castillo et al. · Engineering Applications of Artificial Intelligence · 2022 · 33 citations · Full text
When Robot Personalisation Does Not Help: Insights from a Robot-Supported Learning Study
Yuan Gao, Wolmet Barendregt, Mohammad Obaid et al. · 2018 · 29 citations · Full text
1–5 of 13
44
2
h-index
École Nationale Supérieure de Techniques Avancées, France
2 publications · 37 citations
2
h-index
1
h-index
1
h-index
Advanced Telecommunications Research Institute International, Japan
1 publications · 32 citations
1
h-index
1–5 of 44
20

Italian Institute of Technology
Genoa, Italy
2 h-index
8 publications
292 citations
Université Paris-Saclay
Gif-sur-Yvette, France
2 h-index
4 publications
74 citations

École Nationale Supérieure de Techniques Avancées
Palaiseau, France
2 h-index
4 publications
74 citations

University of Toronto
Toronto, Canada
1 h-index
3 publications
237 citations
Corvallis Environmental Center
Corvallis, United States
1 h-index
6 publications
126 citations

Universidad Carlos III de Madrid
Madrid, Spain
1 h-index
5 publications
165 citations
University of Tsukuba
Tsukuba, Japan
1 h-index
2 publications
30 citations
Nippon Sport Science University
Tokyo, Japan
1 h-index
1 publications
15 citations
1–8 of 20
1 publications · 32 citations
1
h-index
1 publications · 58 citations
1
h-index
TCDS · 1 publications · 15 citations
1
h-index
Conference · 1 publications · 14 citations
1
h-index
1 publications · 33 citations
1
h-index
1–5