Gradient-based Coverage Control

Gradient-Based Coverage Control is a distributed control method in multi-robot systems that belongs to the class of coverage control strategies wherein the deployment of mobile sensors is iteratively optimized by following the local gradient of a performance metric defined over a sensed environment.

46

Publications

5K

Citations

105

Authors

55

Institutions

Publications per year

2017–2026

13

Authors

105

  1. JC
    Jorge Cortés

    University of California San Diego, United States

    4 publications · 3.1K citations

    4

    h-index

  2. CG
    Christos G. Cassandras

    Boston University, United States

    3 publications · 400 citations

    3

    h-index

  3. TK
    T. Karatas

    University of Illinois Urbana-Champaign, United States

    3 publications · 3K citations

    3

    h-index

  4. AT
    Anthony Tzes

    University of Patras, Greece

    3 publications · 62 citations

    3

    h-index

  5. AK
    Andrew Kwok

    University of California San Diego, United States

    3 publications · 121 citations

    3

    h-index

1–5 of 105

Venues

  1. IEEE Transactions on Automatic Control

    4 publications · 349 citations

    4

    h-index

  2. IEEE Robotics and Automation Letters

    3 publications · 156 citations

    3

    h-index

  3. Computers & Mathematics with Applications

    2 publications · 172 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Control Systems Letters

    2 publications · 49 citations

    2

    h-index

1–5