Computational Evolution Of Robots

Computational Evolution of Robots is a methodological framework within evolutionary robotics that employs algorithmic, in silico processes to simulate and optimize robotic morphologies, behaviors, or control systems through iterative application of evolutionary principles such as variation, selection, and inheritance.

223

Publications

11K

Citations

386

Authors

173

Institutions

Publications per year

2017–2026

36

Authors

386

  1. AE
    A. E. Eiben

    Vrije Universiteit Amsterdam, Netherlands

    18 publications · 685 citations

    14

    h-index

  2. DF
    Dario Floreano

    École Polytechnique Fédérale de Lausanne, Switzerland

    11 publications · 1K citations

    11

    h-index

  3. HL
    Hod Lipson

    Cornell University, United States

    11 publications · 649 citations

    11

    h-index

  4. JB
    Josh Bongard

    University of Vermont, United States

    10 publications · 485 citations

    10

    h-index

  5. SN
    Stefano Nolfi

    Institute of Cognitive Sciences and Technologies, Italy

    9 publications · 1.2K citations

    9

    h-index

1–5 of 386

Venues

  1. Artificial Life

    10 publications · 829 citations

    10

    h-index

  2. Adaptive Behavior

    8 publications · 1.4K citations

    8

    h-index

  3. Robotics and Autonomous Systems

    8 publications · 304 citations

    8

    h-index

  4. Proceedings of the Genetic and Evolutionary Computation Conference

    Conference · 6 publications · 123 citations

    6

    h-index

  5. Frontiers in Robotics and AI

    5 publications · 360 citations

    5

    h-index

1–5