Multi-robot Collision Avoidance

Multi-Robot Collision Avoidance is a coordination framework in multi-robot systems that enables simultaneous navigation of multiple robots through shared environments by dynamically adjusting trajectories to prevent physical or operational conflicts among robots, distinguished from single-robot or static-obstacle approaches by its explicit consideration of inter-robot dynamics and decentralized decision-making.

429

Publications

21.7K

Citations

1.1K

Authors

423

Institutions

Publications per year

2017–2026

168

Authors

1.1K

  1. JA
    Javier Alonso–Mora

    Delft University of Technology, Netherlands

    13 publications · 1.3K citations

    13

    h-index

  2. HA
    Hajime Asama

    The University of Tokyo, Japan

    9 publications · 265 citations

    9

    h-index

  3. VK
    Vijay Kumar

    University of Pennsylvania, United States

    9 publications · 594 citations

    9

    h-index

  4. KJ
    Kostas J. Kyriakopoulos

    National Technical University of Athens, Greece

    8 publications · 805 citations

    8

    h-index

  5. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    8 publications · 1.2K citations

    8

    h-index

1–5 of 1.1K

Venues

  1. Robotics and Autonomous Systems

    16 publications · 825 citations

    16

    h-index

  2. IEEE Robotics and Automation Letters

    13 publications · 1.1K citations

    13

    h-index

  3. IEEE Transactions on Robotics

    9 publications · 1.8K citations

    9

    h-index

  4. Robotica

    9 publications · 452 citations

    9

    h-index

  5. Autonomous Robots

    8 publications · 476 citations

    8

    h-index

1–5