Human-robot Co-learning

Human-Robot Co-Learning is a collaborative learning framework in which both human and robot simultaneously adapt their behaviors through mutual interaction, with the robot improving its task performance and the human refining their understanding or skills, thereby distinguishing it from unidirectional teaching or autonomous learning approaches in human-robot interaction.

273

Publications

12.6K

Citations

835

Authors

288

Institutions

Publications per year

2017–2026

104

Authors

835

  1. CB
    Cynthia Breazeal

    Massachusetts Institute of Technology, United States

    13 publications · 1.8K citations

    13

    h-index

  2. TB
    Tony Belpaeme

    University of Plymouth, United Kingdom

    8 publications · 391 citations

    8

    h-index

  3. AL
    Andrea L. Thomaz

    Georgia Institute of Technology, United States

    8 publications · 902 citations

    8

    h-index

  4. PD
    Pierre Dillenbourg

    École Polytechnique Fédérale de Lausanne, Switzerland

    7 publications · 278 citations

    7

    h-index

  5. KD
    Kerstin Dautenhahn

    University of Hertfordshire, United Kingdom

    6 publications · 418 citations

    6

    h-index

1–5 of 835

Venues

  1. Autonomous Robots

    6 publications · 135 citations

    6

    h-index

  2. Frontiers in Robotics and AI

    5 publications · 294 citations

    5

    h-index

  3. Robotics and Autonomous Systems

    5 publications · 481 citations

    5

    h-index

  4. International Journal of Social Robotics

    5 publications · 413 citations

    5

    h-index

  5. 3

    h-index

1–5