DocumentCode :
3021077
Title :
Solving the continuous time multiagent patrol problem
Author :
Marier, Jean-Samuel ; Besse, Camille ; Chaib-Draa, Brahim
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Laval Univ., Quebec City, QC, Canada
fYear :
2010
fDate :
3-7 May 2010
Firstpage :
941
Lastpage :
946
Abstract :
This paper compares two algorithms to solve a multiagent patrol problem with uncertain durations. The first algorithm is reactive and allows adaptive and robust behavior, while the second one uses planning to maximize longterm information retrieval. Experiments suggest that on the considered instances, using a reactive and local coordination algorithm performs almost as well as planning for long-term, while using much less computation time.
Keywords :
adaptive control; aircraft; continuous time systems; control engineering computing; information retrieval; multi-agent systems; remotely operated vehicles; robust control; adaptive behavior; continuous time multiagent patrol problem; information retrieval; robust behavior; uncertain durations; unmanned aerial vehicles; Information retrieval; Learning; Monitoring; Path planning; Random variables; Robotics and automation; Robustness; Surveillance; USA Councils; Unmanned aerial vehicles; Multiagent; Online; Patrol; UAV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2010 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1050-4729
Print_ISBN :
978-1-4244-5038-1
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2010.5509608
Filename :
5509608
Link To Document :
بازگشت