Active Learning For Robots
Active Learning for Robots is a machine learning paradigm within human-robot interaction in which a robot autonomously identifies and queries the most informative data samples from a human expert to improve its learning efficiency and performance with minimal labeled data.
59
Publications
2.7K
Citations
158
Authors
68
Institutions
Publications per year
2017–2026
23
59
Designing robot learners that ask good questions
Maya Çakmak, Andrea L. Thomaz · 2012 · 217 citations
Combining active learning and reactive control for robot grasping
Oliver Kroemer, Renaud Detry, Justus Piater et al. · Robotics and Autonomous Systems · 2010 · 156 citations · Full text
1–5 of 59
158
5
h-index
5
h-index
Institut national de recherche en sciences et technologies du numérique, France
4 publications · 608 citations
4
h-index
4
h-index
Institut national de recherche en sciences et technologies du numérique, France
3 publications · 587 citations
3
h-index
1–5 of 158
68
Georgia Institute of Technology
Atlanta, United States
5 h-index
14 publications
1.3K citations
Technical University of Munich
Munich, Germany
3 h-index
11 publications
531 citations

Italian Institute of Technology
Genoa, Italy
2 h-index
6 publications
261 citations
Yale University
New Haven, United States
2 h-index
5 publications
241 citations
Aalto University
Espoo, Finland
2 h-index
5 publications
73 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
201 citations

National Institute of Information and Communications Technology
Tokyo, Japan
2 h-index
8 publications
140 citations
University of California, Berkeley
Berkeley, United States
2 h-index
5 publications
115 citations
1–8 of 68
3 publications · 92 citations
3
h-index
Repository · 2 publications · 67 citations
2
h-index
2 publications · 605 citations
2
h-index
TAMD · 2 publications · 275 citations
2
h-index
TCDS · 2 publications · 32 citations
2
h-index
1–5