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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1243

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contributor.authorParhi, D R-
contributor.authorPothal, J K-
contributor.authorSingh, M K-
date.accessioned2010-04-29T10:06:00Z-
date.available2010-04-29T10:06:00Z-
date.issued2009-
identifier.citation2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009; Coimbatore; 9 December 2009 through 11 December 2009; Category number CFP0995H; Code 79534; Article number 5393818, Pages 1145-1149en
identifier.urihttp://dx.doi.org/10.1109/NABIC.2009.5393818-
identifier.urihttp://hdl.handle.net/2080/1243-
description.abstractThis research investigates the application of swarm intelligence principles for the co-operative behavior of autonomous collective robots. Using swarm intelligence technique robots are able to get their optimized path during navigation. A successful way of structuring the navigation task deals with the issue of co-operative behavior among multiple mobile robots. Using Ant Colony Optimization, robot path planning in two-dimension environment is studied. In this paper the current study introduces the intelligent finding optimum mechanism of ant colony. The theory has been tested both in simulation and experimental modes.en
format.extent462624 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherIEEEen
subjectAnt colony optimization;en
subjectMobile Robot;en
subjectNavigation;en
subjectSwarm intelligenceen
titleNavigation of Multiple Mobile Robots Using Swarm Intelligenceen
typeArticleen
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