Human-swarm Collaboration

Human-Swarm Collaboration is a human-multiagent interaction paradigm in which a human operator and a collective of autonomous agents dynamically coordinate, share goals, and jointly adapt behaviors to accomplish shared tasks through bidirectional influence and situational responsiveness.

57

Publications

2.3K

Citations

175

Authors

76

Institutions

Publications per year

2017–2026

24

Authors

175

  1. KS
    Katia Sycara

    Carnegie Mellon University, United States

    8 publications · 628 citations

    8

    h-index

  2. ML
    Michael Lewis

    University of Pittsburgh, United States

    6 publications · 544 citations

    6

    h-index

  3. LR
    Louis Rosenberg

    Stanford University, United States

    5 publications · 305 citations

    5

    h-index

  4. PW
    Phillip Walker

    Carnegie Mellon University, United States

    5 publications · 547 citations

    5

    h-index

  5. ME
    Magnus Egerstedt

    Georgia Institute of Technology, United States

    4 publications · 69 citations

    4

    h-index

1–5 of 175

Venues

  1. 2

    h-index

  2. 2

    h-index

  3. Swarm Intelligence

    2 publications · 63 citations

    2

    h-index

  4. IEEE Pervasive Computing

    1 publications · 30 citations

    1

    h-index

  5. California Management Review

    CMR · 1 publications · 187 citations

    1

    h-index

1–5