Soft Robot Evolution

Soft Robot Evolution is a computational framework within evolutionary robotics that specifically focuses on the automated design and optimization of soft robotic morphologies and control systems through iterative, biologically-inspired processes.

49

Publications

2.1K

Citations

116

Authors

57

Institutions

Publications per year

2017–2026

27

Authors

116

  1. EM
    Eric Medvet

    University of Trieste, Italy

    11 publications · 224 citations

    11

    h-index

  2. HL
    Hod Lipson

    Cornell University, United States

    8 publications · 598 citations

    8

    h-index

  3. NC
    Nick Cheney

    University of Vermont, United States

    8 publications · 547 citations

    8

    h-index

  4. FC
    Francesco Corucci

    Scuola Superiore Sant'Anna, Italy

    6 publications · 125 citations

    6

    h-index

  5. JB
    Josh Bongard

    University of Vermont, United States

    6 publications · 191 citations

    6

    h-index

1–5 of 116

Venues

  1. Proceedings of the Genetic and Evolutionary Computation Conference

    Conference · 7 publications · 162 citations

    7

    h-index

  2. Frontiers in Robotics and AI

    4 publications · 77 citations

    4

    h-index

  3. Artificial Life

    3 publications · 151 citations

    3

    h-index

  4. Applied Soft Computing

    2 publications · 58 citations

    2

    h-index

  5. 2

    h-index

1–5