Learning the Voronoi Centers of a Mobile Robot's Configuration Space

Vlassis, N; Papakonstantinou, G; Tsanakas, P

dc.contributor.author	Vlassis, N	en
dc.contributor.author	Papakonstantinou, G	en
dc.contributor.author	Tsanakas, P	en
dc.date.accessioned	2014-03-01T01:45:38Z
dc.date.available	2014-03-01T01:45:38Z
dc.date.issued	1997	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24669
dc.relation.uri	http://reference.kfupm.edu.sa/content/l/e/learning_the_voronoi_centers_of_a_mobile_2516619.pdf	en
dc.relation.uri	http://www.cs.cmu.edu/afs/cs.cmu.edu/misc/mosaic/common/omega/Web/People/motionplanning/papers/sbp_papers/integrated3/vlassis_voronoi.pdf	en
dc.relation.uri	http://www.cs.cmu.edu/~motionplanning/papers/sbp_papers/integrated3/vlassis_voronoi.pdf	en
dc.relation.uri	http://www.cs.cmu.edu/~biorobotics/motion/www/papers/sbp_papers/integrated3/vlassis_voronoi.pdf	en
dc.subject	Cluster Algorithm	en
dc.subject	Configuration Space	en
dc.subject	Path Planning	en
dc.subject	Robot Dynamics	en
dc.subject	voronoi tessellation	en
dc.title	Learning the Voronoi Centers of a Mobile Robot's Configuration Space	en
heal.type	journalArticle	en
heal.publicationDate	1997	en
heal.abstract	Partitioning the configuration space of a mo- bile robot is essential for the robot path planning task. However, most existing techniques either rely upon precise geometrical descriptions of the envi- ronment, or are static by nature. In this paper we propose a method by which the robot dynamically builds a Voronoi tessellation of its configuration space. In order to do	en