Heterogeneity Modeling

Heterogeneity Modeling is a formal framework that specifies the structural, functional, and behavioral diversity within a robot swarm by characterizing the distinct capabilities, roles, and interaction modalities of individual agents relative to a common collective task space.

142

Publications

7.5K

Citations

565

Authors

231

Institutions

Publications per year

2017–2026

86

Authors

565

  1. SU
    Sebastian U. Stich

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 94 citations

    4

    h-index

  2. ME
    Magnus Egerstedt

    Georgia Institute of Technology, United States

    4 publications · 72 citations

    4

    h-index

  3. LQ
    Liangqiong Qu

    Stanford University, United States

    3 publications · 213 citations

    3

    h-index

  4. SP
    Sai Praneeth Karimireddy

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 59 citations

    3

    h-index

  5. AP
    Amanda Prorok

    University of Cambridge, United Kingdom

    3 publications · 140 citations

    3

    h-index

1–5 of 565

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 377 citations

    14

    h-index

  2. 3

    h-index

  3. IEEE Internet of Things Journal

    3 publications · 159 citations

    3

    h-index

  4. PLoS ONE

    3 publications · 155 citations

    3

    h-index

  5. 2

    h-index

1–5