Morphological Optimization

Morphological Optimization is a computational and design methodology within humanoid robotics that systematically refines the physical structure and configuration of robotic systems to enhance functional performance, efficiency, or adaptability under constrained operational requirements.

71

Publications

3.2K

Citations

303

Authors

150

Institutions

Publications per year

2017–2026

34

Authors

303

  1. JB
    Josh Bongard

    University of Vermont, United States

    6 publications · 346 citations

    6

    h-index

  2. VS
    Vytas SunSpiral

    Ames Research Center, United States

    3 publications · 184 citations

    3

    h-index

  3. HL
    Hod Lipson

    Cornell University, United States

    3 publications · 184 citations

    3

    h-index

  4. FI
    Fumiya Iida

    University of Cambridge, United Kingdom

    3 publications · 159 citations

    3

    h-index

  5. SC
    Stelian Coros

    ETH Zurich, Switzerland

    3 publications · 253 citations

    3

    h-index

1–5 of 303

Venues

  1. IEEE Robotics and Automation Letters

    2 publications · 65 citations

    2

    h-index

  2. PLoS ONE

    2 publications · 128 citations

    2

    h-index

  3. Composites Part B Engineering

    2 publications · 77 citations

    2

    h-index

  4. Evolving Systems

    1 publications · 22 citations

    1

    h-index

  5. Inorganic Chemistry Communications

    1 publications · 56 citations

    1

    h-index

1–5