DocumentCode :
1695591
Title :
Multi-robot persistent surveillance planning as a Vehicle Routing Problem
Author :
Stump, Ethan ; Michael, Nathan
Author_Institution :
US Army Res. Lab., Adelphi, MD, USA
fYear :
2011
Firstpage :
569
Lastpage :
575
Abstract :
We consider a persistent surveillance problem as one of finding sequences of visits to discrete sites in a periodic fashion, cast it as a Vehicle Routing Problem with Time Windows, and solve it using exact methods developed in the operations research community. The work is a successful application of recent advances in combinatorial optimization for logistics problems but in the context of a robotics application taking place in continuous time. We apply these methods to the task of surveying a building using multiple UAVs and perform a long-term simulation developed to mimic a hardware testbed currently under development.
Keywords :
aerospace robotics; combinatorial mathematics; mobile robots; multi-robot systems; optimisation; path planning; remotely operated vehicles; combinatorial optimization; multi-robot persistent surveillance planning; unmanned aerial vehicles; vehicle routing problem with time windows; Communities; Operations research; Robots; Routing; Surveillance; Time factors; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2011 IEEE Conference on
Conference_Location :
Trieste
ISSN :
2161-8070
Print_ISBN :
978-1-4577-1730-7
Electronic_ISBN :
2161-8070
Type :
conf
DOI :
10.1109/CASE.2011.6042503
Filename :
6042503
Link To Document :
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