TY - GEN
T1 - Improving multirobot, cooperative search via local target queues
AU - Anderson, Monica
AU - Papanikolopoulos, Nikolaos
PY - 2007
Y1 - 2007
N2 - Multirobot coordination techniques range from sharing state and intent information to explicit coordination strategies. The choice of cooperation strategy can affect task performance and resource utilization. This paper investigates the use of local search queues, rather than globally shared search queues. This work shows this change improves search in terms of interference and communications loads, two key factors in multirobot search, without significantly impacting time-to-search and coverage metrics.
AB - Multirobot coordination techniques range from sharing state and intent information to explicit coordination strategies. The choice of cooperation strategy can affect task performance and resource utilization. This paper investigates the use of local search queues, rather than globally shared search queues. This work shows this change improves search in terms of interference and communications loads, two key factors in multirobot search, without significantly impacting time-to-search and coverage metrics.
UR - http://www.scopus.com/inward/record.url?scp=51349105346&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51349105346&partnerID=8YFLogxK
U2 - 10.1109/IROS.2007.4399338
DO - 10.1109/IROS.2007.4399338
M3 - Conference contribution
AN - SCOPUS:51349105346
SN - 1424409128
SN - 9781424409129
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 2590
EP - 2595
BT - Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007
T2 - 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007
Y2 - 29 October 2007 through 2 November 2007
ER -