Interactive Robot Learning

Interactive Robot Learning is a machine learning paradigm within robot learning where the robot acquires skills or knowledge through active, bidirectional exchanges with humans or its environment, distinguished by its reliance on real-time, contingent interactions to guide data-efficient learning processes.

89

Publications

3.4K

Citations

293

Authors

108

Institutions

Publications per year

2017–2026

24

Authors

293

  1. CG
    Christian Goerick

    Honda (Germany), Germany

    4 publications · 126 citations

    4

    h-index

  2. DF
    David Filliat

    École Nationale Supérieure de Techniques Avancées, France

    4 publications · 298 citations

    4

    h-index

  3. BW
    Britta Wrede

    Bielefeld University, Germany

    4 publications · 112 citations

    4

    h-index

  4. MH
    Marc Hanheide

    University of Lincoln, United Kingdom

    3 publications · 77 citations

    3

    h-index

  5. MV
    Manuela Veloso

    Carnegie Mellon University, United States

    3 publications · 219 citations

    3

    h-index

1–5 of 293

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 141 citations

    3

    h-index

  2. The International Journal of Robotics Research

    IJRR · 2 publications · 109 citations

    2

    h-index

  3. Frontiers in Robotics and AI

    2 publications · 51 citations

    2

    h-index

  4. Autonomous Robots

    2 publications · 65 citations

    2

    h-index

  5. 1

    h-index

1–5