About: Robot Navigation Using Voronoi Diagrams     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)

AttributesValues
rdf:type
Description
  • The task of planning trajectories plays an important role in transportation, robotics, etc. In robot motion planning the robot should pass around the obstacles, from a given starting position to a given target position, touching none of them, i.e. the goal is to find a collision-free path from the starting to the target position. This task has many specific formulations depending on the shape of obstacles, allowable directions of movements, knowledge of the scene, etc. Research on path planning has yielded many fundamentally different approaches to its solution, e.g. visibility graph method or the shortest path map method. Assuming movements only in a restricted number of directions (eight directional, horizontal/vertical) the task, with respect to its combinatorial nature, must be solved by heuristic techniques. We propose an application of the Voronoi diagrams to the studied tasks and show that this approach needs only polynomial time and choosing Euclidean or rectilinear metric it can be adapted to
  • The task of planning trajectories plays an important role in transportation, robotics, etc. In robot motion planning the robot should pass around the obstacles, from a given starting position to a given target position, touching none of them, i.e. the goal is to find a collision-free path from the starting to the target position. This task has many specific formulations depending on the shape of obstacles, allowable directions of movements, knowledge of the scene, etc. Research on path planning has yielded many fundamentally different approaches to its solution, e.g. visibility graph method or the shortest path map method. Assuming movements only in a restricted number of directions (eight directional, horizontal/vertical) the task, with respect to its combinatorial nature, must be solved by heuristic techniques. We propose an application of the Voronoi diagrams to the studied tasks and show that this approach needs only polynomial time and choosing Euclidean or rectilinear metric it can be adapted to (en)
Title
  • Robot Navigation Using Voronoi Diagrams
  • Robot Navigation Using Voronoi Diagrams (en)
skos:prefLabel
  • Robot Navigation Using Voronoi Diagrams
  • Robot Navigation Using Voronoi Diagrams (en)
skos:notation
  • RIV/00216305:26210/04:PU47006!RIV11-MSM-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V, Z(MSM 260000013), Z(MSM 261100009), Z(MSM 262100024)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 584853
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/04:PU47006
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Motion planning, Voronoi diagram, rectilinear metric (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E15E6A0B5F8A]
http://linked.open...v/mistoKonaniAkce
  • Svratka
http://linked.open...i/riv/mistoVydani
  • Svratka
http://linked.open...i/riv/nazevZdroje
  • Book of Extended Abstracts of the National Conference with International Participation Engineering Mechanics 2004
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Šeda, Miloš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Akademie věd České republiky
https://schema.org/isbn
  • 80-85918-88-9
http://localhost/t...ganizacniJednotka
  • 26210
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
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, 85 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software