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hal.structure.identifierDépartement d'Informatique et d'Ingénierie [DII]
dc.contributor.authorCZYZOWICZ, Jurek
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierAlgorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE]
dc.contributor.authorILCINKAS, David
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorLABOUREL, Arnaud
hal.structure.identifierDépartement d'Informatique et d'Ingénierie [DII]
dc.contributor.authorPELC, Andrzej
dc.date.accessioned2024-04-15T09:49:13Z
dc.date.available2024-04-15T09:49:13Z
dc.date.issued2010
dc.date.conference2010-06
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198239
dc.description.abstractEnA mobile robot represented by a point moving in the plane has to explore an unknown flat terrain with impassable obstacles. Both the terrain and the obstacles are modeled as arbitrary polygons. We consider two scenarios: the unlimited vision, when the robot situated at a point p of the terrain explores (sees) all points q of the terrain for which the segment pq belongs to the terrain, and the limited vision, when we require additionally that the distance between p and q be at most 1. All points of the terrain (except obstacles) have to be explored and the performance of an exploration algorithm, called its complexity, is measured by the length of the trajectory of the robot. For unlimited vision we show an exploration algorithm with complexity $O(P+D\sqrt{k})$, where P is the total perimeter of the terrain (including perimeters of obstacles), D is the diameter of the convex hull of the terrain, and k is the number of obstacles. We do not assume knowledge of these parameters. We also prove a matching lower bound showing that the above complexity is optimal, even if the terrain is known to the robot. For limited vision we show exploration algorithms with complexity $O(P+A+\sqrt{Ak})$, where A is the area of the terrain (excluding obstacles). Our algorithms work either for arbitrary terrains, if one of the parameters A or k is known, or for c-fat terrains, where c is any constant (unknown to the robot) and no additional knowledge is assumed. (A terrain ${\mathcal T}$ with obstacles is c-fat if R/r ≤ c, where R is the radius of the smallest disc containing ${\mathcal T}$ and r is the radius of the largest disc contained in ${\mathcal T}$.) We also prove a matching lower bound $\Omega(P+A+\sqrt{Ak})$ on the complexity of exploration for limited vision, even if the terrain is known to the robot.
dc.description.sponsorshipAlgorithm Design and Analysis for Implicitly and Incompletely Defined Interaction Networks - ANR-07-BLAN-0322
dc.language.isoen
dc.publisherSpringer Berlin / Heidelberg
dc.source.titleProceedings of the 12th Scandinavian Symposium and Workshops on Algorithm Theory
dc.subjectmobile robot
dc.subjectexploration
dc.subjectpolygon
dc.subjectobstacle
dc.title.enOptimal Exploration of Terrains with Obstacles
dc.typeCommunication dans un congrès
dc.identifier.doi10.1007/978-3-642-13731-0_1
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
bordeaux.page1-12
bordeaux.volume6139
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleSWAT 2010
bordeaux.countryNO
bordeaux.title.proceedingProceedings of the 12th Scandinavian Symposium and Workshops on Algorithm Theory
bordeaux.conference.cityBergen
bordeaux.peerReviewedoui
hal.identifierhal-00516061
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00516061v1
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