Multi-robot Scheduling

Multi-Robot Scheduling is the systematic allocation of tasks and temporal resources among multiple robotic agents within a shared environment, distinguished from other planning paradigms by its focus on optimizing task execution order, robot assignment, and timing constraints to achieve coordinated system-level objectives.

557

Publications

25K

Citations

1.4K

Authors

511

Institutions

Publications per year

2017–2026

250

Authors

1.4K

  1. KS
    Katia Sycara

    Carnegie Mellon University, United States

    10 publications · 340 citations

    10

    h-index

  2. AS
    Anthony Stentz

    Carnegie Mellon University, United States

    10 publications · 1.5K citations

    10

    h-index

  3. DA
    Dylan A. Shell

    Texas A&M University, United States

    9 publications · 322 citations

    9

    h-index

  4. MG
    Maria Gini

    University of Minnesota, United States

    9 publications · 347 citations

    9

    h-index

  5. YQ
    Yan Qiao

    Macau University of Science and Technology, Macao SAR China

    8 publications · 258 citations

    8

    h-index

1–5 of 1.4K

Venues

  1. 22

    h-index

  2. IEEE Robotics and Automation Letters

    17 publications · 816 citations

    15

    h-index

  3. Robotics and Autonomous Systems

    17 publications · 1.4K citations

    14

    h-index

  4. IEEE Transactions on Robotics

    15 publications · 1.4K citations

    13

    h-index

  5. The International Journal of Robotics Research

    IJRR · 10 publications · 1.4K citations

    10

    h-index

1–5