TY - GEN
T1 - Application of a quadtree-based market-allocation algorithm for cellular environment coverage with cooperative robots
AU - Alexis, Konstantinos
AU - Tzes, Anthony
PY - 2008
Y1 - 2008
N2 - The maximum-area coverage problem over a free time interval with a team of cooperating robots is considered in this article. This area resides in a cellular rectangular environment in which there are obstacles. The robots detect the obstacles during their motion which is constrained in a finite set of maneuvers (left, right, forward, and backward). The uncovered but detected (by the sensors) area is decomposed using the quadtree algorithm and a heuristic search relying on the market-based allocation is employed for dispatching the robots. The efficiency of the suggested algorithm is shown in simulation studies.
AB - The maximum-area coverage problem over a free time interval with a team of cooperating robots is considered in this article. This area resides in a cellular rectangular environment in which there are obstacles. The robots detect the obstacles during their motion which is constrained in a finite set of maneuvers (left, right, forward, and backward). The uncovered but detected (by the sensors) area is decomposed using the quadtree algorithm and a heuristic search relying on the market-based allocation is employed for dispatching the robots. The efficiency of the suggested algorithm is shown in simulation studies.
UR - http://www.scopus.com/inward/record.url?scp=52949153601&partnerID=8YFLogxK
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U2 - 10.1109/MED.2008.4602253
DO - 10.1109/MED.2008.4602253
M3 - Conference contribution
AN - SCOPUS:52949153601
SN - 9781424425051
T3 - 2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED'08
SP - 938
EP - 945
BT - 2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED'08
T2 - 2008 Mediterranean Conference on Control and Automation, MED'08
Y2 - 25 June 2008 through 27 June 2008
ER -