Patrol Scheduling

Patrol Scheduling is a computational framework within multi-robot systems that determines the optimal temporal and spatial allocation of robotic agents for continuous and repeated surveillance tasks, distinguishing itself from general scheduling by prioritizing coverage, revisit frequency, and environmental uncertainty in patrol operations.

107

Publications

4.8K

Citations

282

Authors

155

Institutions

Publications per year

2017–2026

26

Authors

282

  1. MT
    Milind Tambe

    University of Southern California, United States

    6 publications · 432 citations

    6

    h-index

  2. AX
    Albert Xin Jiang

    University of Southern California, United States

    4 publications · 378 citations

    4

    h-index

  3. NB
    Nicola Basilico

    Politecnico di Milano, Italy

    4 publications · 183 citations

    4

    h-index

  4. JM
    Jan M. Chaiken

    RAND Corporation, United States

    4 publications · 248 citations

    4

    h-index

  5. SR
    Stephen R. Sacks

    University of Connecticut, United States

    3 publications · 52 citations

    3

    h-index

1–5 of 282

Venues

  1. European Journal of Operational Research

    4 publications · 150 citations

    4

    h-index

  2. Management Science

    4 publications · 313 citations

    4

    h-index

  3. Journal of Intelligent & Robotic Systems

    3 publications · 80 citations

    3

    h-index

  4. Journal of the Operational Research Society

    OR · 3 publications · 67 citations

    3

    h-index

  5. Autonomous Robots

    3 publications · 242 citations

    3

    h-index

1–5