Scalable Swarm Control

Scalable Swarm Control is a systematic framework within swarm coordination that enables the consistent and efficient regulation of swarm behavior as the number of agents increases, without degradation in performance or excessive computational overhead.

10

Publications

190

Citations

35

Authors

9

Institutions

Publications per year

2017–2026

5

Authors

35

  1. BR
    Brian Ritchken

    Cornell University, United States

    2 publications · 23 citations

    2

    h-index

  2. MD
    Miguel Duarte

    Iscte – Instituto Universitário de Lisboa, Portugal

    2 publications · 35 citations

    2

    h-index

  3. JH
    Justin Hu

    Cornell University, United States

    2 publications · 23 citations

    2

    h-index

  4. BJ
    Brendon Jackson

    The Aerospace Corporation, United States

    2 publications · 23 citations

    2

    h-index

  5. AB
    Ariana Bruno

    Cornell University, United States

    2 publications · 23 citations

    2

    h-index

1–5 of 35

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 23 citations

    2

    h-index

  2. Drones

    1 publications · 28 citations

    1

    h-index

  3. IET Control Theory and Applications

    1 publications · 15 citations

    1

    h-index

  4. IEEE Access

    1 publications · 27 citations

    1

    h-index

  5. 2021 IEEE Global Communications Conference (GLOBECOM)

    Conference · 1 publications · 14 citations

    1

    h-index

1–5