Morphological Design Optimization

Morphological Design Optimization is a computational and methodological framework in soft robotics that systematically determines the optimal geometric, material, and structural configurations of a soft robot's body to enhance functional performance through the integration of morphological properties with task-specific objectives.

44

Publications

1.7K

Citations

181

Authors

94

Institutions

Publications per year

2017–2026

27

Authors

181

  1. SC
    Stelian Coros

    ETH Zurich, Switzerland

    3 publications · 178 citations

    3

    h-index

  2. AA
    Alexander Alspach

    Walt Disney (United States), United States

    2 publications · 161 citations

    2

    h-index

  3. SZ
    Shiwei Zhou

    RMIT University, Australia

    2 publications · 190 citations

    2

    h-index

  4. SH
    Sehoon Ha

    Georgia Institute of Technology, United States

    2 publications · 161 citations

    2

    h-index

  5. JK
    Joohyung Kim

    Walt Disney (United States), United States

    2 publications · 161 citations

    2

    h-index

1–5 of 181

Venues

  1. Applied Thermal Engineering

    2 publications · 56 citations

    2

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  2. Oecologia

    2 publications · 29 citations

    2

    h-index

  3. Sustainable Cities and Society

    2 publications · 95 citations

    2

    h-index

  4. Composites Part B Engineering

    2 publications · 191 citations

    2

    h-index

  5. Nature Machine Intelligence

    2 publications · 68 citations

    2

    h-index

1–5