Decentralized Collision Avoidance

Decentralized Collision Avoidance is a collision avoidance framework in which autonomous agents independently compute avoidance maneuvers using local sensing and limited communication, without reliance on a centralized coordinator, thereby distinguishing it from centralized or hierarchical collision management systems.

120

Publications

8.2K

Citations

309

Authors

147

Institutions

Publications per year

2017–2026

45

Authors

309

  1. DV
    Dimos V. Dimarogonas

    KTH Royal Institute of Technology, Sweden

    11 publications · 347 citations

    11

    h-index

  2. KJ
    Kostas J. Kyriakopoulos

    National Technical University of Athens, Greece

    10 publications · 305 citations

    10

    h-index

  3. FB
    Francesco Borrelli

    University of California, Berkeley, United States

    4 publications · 403 citations

    4

    h-index

  4. EF
    Emilio Frazzoli

    Massachusetts Institute of Technology, United States

    4 publications · 313 citations

    4

    h-index

  5. TK
    Tamás Keviczky

    Delft University of Technology, Netherlands

    4 publications · 403 citations

    4

    h-index

1–5 of 309

Venues

  1. 4

    h-index

  2. IEEE Transactions on Robotics

    4 publications · 1.1K citations

    4

    h-index

  3. IEEE Control Systems Letters

    3 publications · 82 citations

    3

    h-index

  4. The International Journal of Robotics Research

    IJRR · 3 publications · 489 citations

    3

    h-index

  5. Autonomous Robots

    3 publications · 204 citations

    3

    h-index

1–5