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
107
A Path Planning Method for Sweep Coverage With Multiple UAVs
Jing Li, Yonghua Xiong, Jinhua She et al. · IEEE Internet of Things Journal · 2020 · 137 citations
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155
University of Southern California
Los Angeles, United States
6 h-index
21 publications
1.5K citations

Bar-Ilan University
Ramat Gan, Israel
4 h-index
6 publications
701 citations

University of Milan
Milan, Italy
3 h-index
3 publications
43 citations
University of Alabama
Tuscaloosa, United States
3 h-index
13 publications
355 citations
Politecnico di Milano
Milan, Italy
3 h-index
7 publications
470 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
5 publications
162 citations

The University of Texas at El Paso
El Paso, United States
3 h-index
4 publications
234 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
8 publications
263 citations
1–8 of 155
4 publications · 150 citations
4
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4 publications · 313 citations
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3 publications · 80 citations
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OR · 3 publications · 67 citations
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3 publications · 242 citations
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