Incremental Robot Learning
Incremental Robot Learning is a machine learning paradigm within human-robot interaction that enables a robot to continuously acquire and refine knowledge from sequential, often real-time, interactions with humans or environments, distinguishing itself by its ability to adapt autonomously without retraining from scratch.
151
Publications
8.4K
Citations
403
Authors
198
Institutions
Publications per year
2017–2026
55
151
Incremental Learning for Robust Visual Tracking
David A. Ross, Jongwoo Lim, Ruei-Sung Lin et al. · International Journal of Computer Vision · 2007 · 3.1K citations
Incremental learning of gestures by imitation in a humanoid robot
Sylvain Calinon, Aude Billard · 2007 · 333 citations · Full text
1–5 of 151
403
4
h-index
École Nationale Supérieure de Techniques Avancées, France
4 publications · 295 citations
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 403
198

École Nationale Supérieure de Techniques Avancées
Palaiseau, France
5 h-index
7 publications
609 citations
The University of Osaka
Osaka, Japan
4 h-index
12 publications
1.4K citations

University of Genoa
Genoa, Italy
4 h-index
10 publications
212 citations
University of Aveiro
Aveiro, Portugal
4 h-index
16 publications
322 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
11 publications
345 citations
Tokyo Institute of Technology
Tokyo, Japan
4 h-index
11 publications
193 citations
Michigan State University
East Lansing, United States
4 h-index
9 publications
174 citations
Middle East Technical University
Ankara, Türkiye
3 h-index
6 publications
162 citations
1–8 of 198
6 publications · 194 citations
6
h-index
5 publications · 357 citations
5
h-index
4 publications · 80 citations
4
h-index
4 publications · 145 citations
4
h-index
3 publications · 72 citations
4
h-index
1–5