Please use this identifier to cite or link to this item: https://idr.l4.nitk.ac.in/jspui/handle/123456789/10506
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGuruprasad, K.R.-
dc.contributor.authorGhose, D.-
dc.date.accessioned2020-03-31T08:19:22Z-
dc.date.available2020-03-31T08:19:22Z-
dc.date.issued2011-
dc.identifier.citationIEEE Transactions on Automation Science and Engineering, 2011, Vol.8, 2, pp.420-423en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/10506-
dc.description.abstractThis paper addresses the problem of automated multiagent search in an unknown environment. Autonomous agents equipped with sensors carry out a search operation in a search space, where the uncertainty, or lack of information about the environment, is known a priori as an uncertainty density distribution function. The agents are deployed in the search space to maximize single step search effectiveness. The centroidal Voronoi configuration, which achieves a locally optimal deployment, forms the basis for the proposed sequential deploy and search strategy. It is shown that with the proposed control law the agent trajectories converge in a globally asymptotic manner to the centroidal Voronoi configuration. Simulation experiments are provided to validate the strategy. 2010 IEEE.en_US
dc.titleAutomated multi-agent search using centroidal Voronoi configurationen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

Files in This Item:
File Description SizeFormat 
10506.pdf160.53 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.