Multi-robot Task Scheduling

Multi-Robot Task Scheduling is a formal framework that determines the optimal allocation and temporal ordering of tasks among multiple robotic agents to achieve coordinated mission objectives while considering inter-agent dependencies, resource constraints, and system-level performance criteria.

293

Publications

11.8K

Citations

728

Authors

318

Institutions

Publications per year

2017–2026

143

Authors

728

  1. MG
    Maria Gini

    University of Minnesota, United States

    9 publications · 328 citations

    9

    h-index

  2. MB
    M. Bernardine Dias

    Carnegie Mellon University, United States

    6 publications · 868 citations

    6

    h-index

  3. DA
    Dylan A. Shell

    Texas A&M University, United States

    6 publications · 183 citations

    6

    h-index

  4. MJ
    Maja J. Matarić

    University of Southern California, United States

    5 publications · 296 citations

    6

    h-index

  5. AS
    Anthony Stentz

    Carnegie Mellon University, United States

    5 publications · 838 citations

    5

    h-index

1–5 of 728

Venues

  1. Robotics and Autonomous Systems

    13 publications · 854 citations

    13

    h-index

  2. 12

    h-index

  3. Autonomous Robots

    7 publications · 493 citations

    7

    h-index

  4. IEEE Robotics and Automation Letters

    6 publications · 473 citations

    6

    h-index

  5. IEEE Transactions on Robotics

    6 publications · 423 citations

    6

    h-index

1–5