Multirobot Cooperative Patrolling Strategy for Moving Objects
Document Type
Article
Publication Date
5-1-2023
Abstract
In multirobot patrolling problems, various dynamic situations require a higher level of cooperation among robots. The dynamic problems caused by moving objects are rarely studied yet. This work proposes a distributed event-driven cooperative strategy for multirobot systems to patrol moving objects autonomously. First, forward and backward utility functions are defined as criteria for robots to conduct two-way evaluation when they choose their targets to patrol. Then, three event types and a cooperative action considering energy consumption and visiting frequency comprehensively are proposed to improve coordination among robots during their execution processes. In simulation experiments, the proposed strategy shows significant advantages on decreasing the average and maximum unvisited time of moving objects compared with the state-of-The-Art. A marine pollution monitoring case is simulated to demonstrate the practicability of this strategy.
Identifier
85144052141 (Scopus)
Publication Title
IEEE Transactions on Systems Man and Cybernetics Systems
External Full Text Location
https://doi.org/10.1109/TSMC.2022.3220524
e-ISSN
21682232
ISSN
21682216
First Page
2995
Last Page
3007
Issue
5
Volume
53
Recommended Citation
Huang, Li; Zhou, Mengchu; Hao, Kuangrong; and Han, Hua, "Multirobot Cooperative Patrolling Strategy for Moving Objects" (2023). Faculty Publications. 1762.
https://digitalcommons.njit.edu/fac_pubs/1762