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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Robotics and Automation (ICRA), 2010 IEEE International Conference on
         
        
            Conference_Location : 
Anchorage, AK
         
        
        
            Print_ISBN : 
978-1-4244-5038-1
         
        
            Electronic_ISBN : 
1050-4729
         
        
        
            DOI : 
10.1109/ROBOT.2010.5509608