English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30272
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Distance constraints solved geometrically

AuthorsThomas, Federico ; Porta, Josep M. ; Ros, Lluís
KeywordsDistance constraints
Distance geometry
Geometric constraint systems
Automation: Robots
Robots
Robotics
Issue Date2004
PublisherSpringer
Citation9th International Symposium on Advances in Robot Kinematics: 31-40 (2004)
AbstractMost geometric constraint problems can be reduced to give coordinates to a set of points from a subset of their pairwise distances. By exploiting this fact, this paper presents an algorithm that solves distance constraint systems by iteratively reducing and expanding the dimension of the problem. In general, these projection/backprojection iterations permit tightening the ranges for the possible solutions but, if at a given point no progress is made, the algorithm bisects the search space and proceeds recursively for both subproblems. This branch-and-prune strategy is shown to converge to all solutions.
DescriptionInternational Symposium on Advances in Robot Kinematics (ARK), 2004, Sestri Levante (Italia)
URIhttp://hdl.handle.net/10261/30272
ISBN9781402022487
Appears in Collections:(IRII) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
doc1.pdf2,69 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.