Swarm Robotics Learning

Swarm Robotics Learning is a subfield of Multi-Robot Learning that focuses on the development and application of learning methods enabling large-scale, decentralized robot swarms to collectively adapt their behaviors through local interactions and self-organization, distinguishing it from centralized or small-group multi-robot learning approaches.

55

Publications

1.8K

Citations

161

Authors

81

Institutions

Publications per year

2017–2026

31

Authors

161

  1. AM
    Alcherio Martinoli

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 442 citations

    6

    h-index

  2. KO
    Kazuhiro Ohkura

    Hiroshima University, Japan

    4 publications · 52 citations

    4

    h-index

  3. GN
    Gerhard Neumann

    Technische Universität Darmstadt, Germany

    2 publications · 115 citations

    2

    h-index

  4. AH
    A.T. Hayes

    California Institute of Technology, United States

    2 publications · 232 citations

    2

    h-index

  5. YK
    Yasuaki Kuroe

    Kyoto Institute of Technology, Japan

    2 publications · 36 citations

    2

    h-index

1–5 of 161

Venues

  1. Artificial Life and Robotics

    3 publications · 43 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 26 citations

    2

    h-index

  3. 1

    h-index

  4. Adaptive Behavior

    1 publications · 54 citations

    1

    h-index

  5. Swarm Intelligence

    1 publications · 44 citations

    1

    h-index

1–5