DocumentCode
720502
Title
Dynamic zone assignment under priorities for perimeter surveillance missions with aerial robots
Author
Acevedo, Jose J. ; Arrue, Begona ; Maza, Ivan ; Ollero, Anibal
Author_Institution
Inst. for Syst. & Robot., Univ. de Lisboa, Lisbon, Portugal
fYear
2015
fDate
9-12 June 2015
Firstpage
871
Lastpage
878
Abstract
This paper addresses the cooperation of multiple aerial robots and fixed stations to monitor efficiently a perimeter divided in sub-paths with different priorities. It is not efficient to solve the problem following the elapsed time criterion and an urgency index is defined to normalize the elapsed time through the whole perimeter. The problem is defined as an allocation problem where the aerial robots have to be assigned to the sub-paths in such a way that the maximum urgency is minimized and the zones with higher priorities are more frequently monitored than others. Fixed nodes act as allocation managers sending and receiving information to and from the aerial robots for decision-making. Each aerial robot implements a distributed method to patrol its assigned sub-path in a cooperative manner jointly with the rest of aerial robots in the same sub-path following a path partitioning strategy. This paper proposes a new algorithm based on the coordination variables to perform the allocation process of the aerial robots among the sub-paths in a distributed manner. It is implemented and compared with a previous method based on one-to-one coordination.
Keywords
aerospace robotics; decision making; mobile robots; multi-robot systems; surveillance; allocation problem; allocation process; decision-making; distributed method; dynamic zone assignment; elapsed time criterion; fixed stations; multiple aerial robots; path partitioning strategy; perimeter surveillance missions; urgency index; Bismuth; Heuristic algorithms; Indexes; Resource management; Robot kinematics; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
Conference_Location
Denver, CO
Print_ISBN
978-1-4799-6009-5
Type
conf
DOI
10.1109/ICUAS.2015.7152373
Filename
7152373
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