Coactive Learning
Coactive Learning is a machine learning framework within human-robot interaction that enables collaborative robot adaptation through real-time, bidirectional feedback between the human and the robot, where the human guides the robot’s learning process without requiring fully correct demonstrations.
12
Publications
729
Citations
38
Authors
13
Institutions
Publications per year
2017–2026
4
12
TUTELAGE AND COLLABORATION FOR HUMANOID ROBOTS
Cynthia Breazeal, Andrëw G. Brööks, Jesse Gray et al. · International Journal of Humanoid Robotics · 2004 · 149 citations
Coactive neural fuzzy modeling
Eiji Mizutani, Jyh‐Shing Roger Jang · 2002 · 67 citations
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38
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1
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1–5 of 38
13

Cornell University
Ithaca, United States
4 h-index
9 publications
560 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
3 publications
54 citations

Durham University
Durham, United Kingdom
1 h-index
4 publications
72 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
1 publications
60 citations
University of Stuttgart
Stuttgart, Germany
1 h-index
1 publications
18 citations
National Tsing Hua University
Hsinchu, Taiwan
1 h-index
1 publications
67 citations

Worcester Polytechnic Institute
Worcester, United States
1 h-index
2 publications
22 citations

National University of Defense Technology
Changsha, China
1 h-index
5 publications
300 citations
1–8 of 13
JAIR · 1 publications · 52 citations
1
h-index
CJA · 1 publications · 60 citations
1
h-index
AMR · 1 publications · 178 citations
1
h-index
Conference · 1 publications · 19 citations
1
h-index
IJRR · 1 publications · 97 citations
1
h-index
1–5