Embodied Evolution

Embodied Evolution is a method in evolutionary robotics wherein the evolutionary process, including evaluation and selection, occurs within the physical or simulated environment inhabited by the agents, thereby tightly coupling the agents' morphological and behavioral dynamics with their evolutionary adaptation.

66

Publications

4.3K

Citations

113

Authors

86

Institutions

Publications per year

2017–2026

10

Authors

113

  1. JB
    Josh Bongard

    University of Vermont, United States

    9 publications · 631 citations

    9

    h-index

  2. HL
    Hod Lipson

    Cornell University, United States

    5 publications · 245 citations

    5

    h-index

  3. NB
    Nicolas Bredèche

    Centre National de la Recherche Scientifique, France

    4 publications · 794 citations

    4

    h-index

  4. EU
    Eiji Uchibe

    Okinawa Institute of Science and Technology Graduate University, Japan

    4 publications · 107 citations

    4

    h-index

  5. KD
    Kenji Doya

    Okinawa Institute of Science and Technology Graduate University, Japan

    4 publications · 107 citations

    4

    h-index

1–5 of 113

Venues

  1. Artificial Life

    4 publications · 115 citations

    4

    h-index

  2. Communications of the ACM

    2 publications · 350 citations

    2

    h-index

  3. Robotics and Autonomous Systems

    2 publications · 291 citations

    2

    h-index

  4. Evolutionary Intelligence

    2 publications · 671 citations

    2

    h-index

  5. Connection Science

    1 publications · 63 citations

    1

    h-index

1–5