Multi-robot Task Planning

Multi-Robot Task Planning is a computational framework that systematically allocates and sequences tasks among multiple robots while accounting for inter-robot dependencies, resource constraints, and environmental dynamics to achieve coordinated mission objectives.

199

Publications

8.2K

Citations

564

Authors

214

Institutions

Publications per year

2017–2026

114

Authors

564

  1. RA
    Rachid Alami

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    10 publications · 548 citations

    10

    h-index

  2. AS
    Anthony Stentz

    Carnegie Mellon University, United States

    5 publications · 395 citations

    5

    h-index

  3. TA
    Tamio Arai

    The University of Tokyo, Japan

    4 publications · 325 citations

    4

    h-index

  4. JO
    Jun Ota

    The University of Tokyo, Japan

    4 publications · 325 citations

    4

    h-index

  5. FI
    Félix Ingrand

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    4 publications · 186 citations

    4

    h-index

1–5 of 564

Venues

  1. IEEE Robotics and Automation Letters

    6 publications · 277 citations

    8

    h-index

  2. The International Journal of Robotics Research

    IJRR · 6 publications · 648 citations

    6

    h-index

  3. IEEE Transactions on Robotics

    5 publications · 223 citations

    5

    h-index

  4. Autonomous Robots

    4 publications · 171 citations

    5

    h-index

  5. Applied Sciences

    4 publications · 67 citations

    4

    h-index

1–5