Multi-robot Planning

Multi-Robot Planning is a robotic coordination framework that extends path planning methodologies to simultaneously determine collision-free trajectories for multiple robots in a shared environment, distinguishing itself from single-robot planning by explicitly addressing inter-robot constraints, dependencies, and task allocation.

386

Publications

19.9K

Citations

832

Authors

332

Institutions

Publications per year

2017–2026

149

Authors

832

  1. VK
    Vijay Kumar

    University of Pennsylvania, United States

    13 publications · 809 citations

    13

    h-index

  2. JY
    Jingjin Yu

    Rutgers, The State University of New Jersey, United States

    12 publications · 1.2K citations

    12

    h-index

  3. RA
    Rachid Alami

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

    10 publications · 296 citations

    10

    h-index

  4. PK
    Pradipta Kumar Das

    Veer Surendra Sai University of Technology, India

    9 publications · 806 citations

    9

    h-index

  5. TA
    Tamio Arai

    The University of Tokyo, Japan

    9 publications · 534 citations

    9

    h-index

1–5 of 832

Venues

  1. IEEE Robotics and Automation Letters

    17 publications · 1K citations

    15

    h-index

  2. The International Journal of Robotics Research

    IJRR · 14 publications · 1.6K citations

    13

    h-index

  3. arXiv (Cornell University)

    Repository · 9 publications · 153 citations

    9

    h-index

  4. IEEE Transactions on Robotics

    9 publications · 786 citations

    9

    h-index

  5. Autonomous Robots

    10 publications · 384 citations

    9

    h-index

1–5