Coverage In Unknown Environments

Coverage in Unknown Environments is a coverage control framework that enables autonomous agents to systematically explore and distribute sensing or monitoring resources over physical spaces whose geometries, constraints, or features are neither a priori known nor fully observable, distinguishing it from conventional coverage methods by its reliance on online environmental learning and adaptive deployment strategies.

80

Publications

3.1K

Citations

251

Authors

104

Institutions

Publications per year

2017–2026

23

Authors

251

  1. SG
    Shalabh Gupta

    University of Connecticut, United States

    3 publications · 138 citations

    3

    h-index

  2. HC
    Howie Choset

    Carnegie Mellon University, United States

    3 publications · 245 citations

    3

    h-index

  3. MR
    Muhammed R. Pac

    Middle East Technical University, Türkiye

    2 publications · 62 citations

    2

    h-index

  4. GS
    Gaurav S. Sukhatme

    University of Southern California, United States

    2 publications · 228 citations

    2

    h-index

  5. MS
    Mac Schwager

    Stanford University, United States

    2 publications · 104 citations

    2

    h-index

1–5 of 251

Venues

  1. The International Journal of Robotics Research

    IJRR · 4 publications · 295 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 64 citations

    3

    h-index

  3. IEEE Robotics and Automation Letters

    2 publications · 83 citations

    2

    h-index

  4. Autonomous Robots

    2 publications · 161 citations

    2

    h-index

  5. IEEE Sensors Journal

    2 publications · 46 citations

    2

    h-index

1–5