About: Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.springerlink.com/content/05570w0vnq831416/
Description	This paper presents a self-organizing map approach for the multi-goal path planning problem with polygonal goals. The problem is to find a shortest closed collision free path for a mobile robot operating in a planar environment represented by a polygonal map W. The requested path has to visit a given set of areas where the robot takes measurements in order to find an object of interest. Neurons' weights are considered as points in W and the solution is found as approximate shortest paths connecting the points (weights). The proposed self-organizing map has less number of parameters than a previous approach based on the self-organizing map for the traveling salesman problem. Moreover, the proposed algorithm provides better solutions within less computational time for problems with high number of polygonal goals. This paper presents a self-organizing map approach for the multi-goal path planning problem with polygonal goals. The problem is to find a shortest closed collision free path for a mobile robot operating in a planar environment represented by a polygonal map W. The requested path has to visit a given set of areas where the robot takes measurements in order to find an object of interest. Neurons' weights are considered as points in W and the solution is found as approximate shortest paths connecting the points (weights). The proposed self-organizing map has less number of parameters than a previous approach based on the self-organizing map for the traveling salesman problem. Moreover, the proposed algorithm provides better solutions within less computational time for problems with high number of polygonal goals. (en)
Title	Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals (en)
skos:prefLabel	Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals (en)
skos:notation	RIV/68407700:21230/11:00181909!RIV12-MSM-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(2C06005)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Přeučil, Libor Faigl, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	228734
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/11:00181909
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	path planning; self-organizing map; navigation functions; robotics (en)
http://linked.open.../riv/klicoveSlovo	path planning navigation functions robotics self-organizing map
http://linked.open...ontrolniKodProRIV	[FF0670B41A47]
http://linked.open...v/mistoKonaniAkce	Espoo
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Proceedings of Artificial Neural Networks and Machine Learning
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	A System for robotic e-learning
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Faigl, Jan Přeučil, Libor
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-06-14 (xsd:date)
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-21735-7_11
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-21734-0
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software