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  • The aim of the paper is to propose an integration of a genetic algorithm and case-based reasoning in robot motion planning in a partially known dynamic environment. The goal of the planning is to help find a path from a start to a goal position without collisions with known obstacles minimizing length and difficulty of the path. The environment is modelled by a grid in which known static obstacles or unattainable positions are defined. The robot motion is reduced in horizontal, vertical and diagonal dirrections. The paths realized are stored in a base of cases along with the degree of their traversability. When planning a path, first this base is searched so as to find the cases that are most similar to the given case and then they are adapted to it. If similar cases are not found in the base or adapted solutions are not good enough, a new path is searched for by a genetic algorithm.
  • The aim of the paper is to propose an integration of a genetic algorithm and case-based reasoning in robot motion planning in a partially known dynamic environment. The goal of the planning is to help find a path from a start to a goal position without collisions with known obstacles minimizing length and difficulty of the path. The environment is modelled by a grid in which known static obstacles or unattainable positions are defined. The robot motion is reduced in horizontal, vertical and diagonal dirrections. The paths realized are stored in a base of cases along with the degree of their traversability. When planning a path, first this base is searched so as to find the cases that are most similar to the given case and then they are adapted to it. If similar cases are not found in the base or adapted solutions are not good enough, a new path is searched for by a genetic algorithm. (en)
Title
  • Robot Navigation Using Genetic Algorithm and Case-Based Reasoning
  • Robot Navigation Using Genetic Algorithm and Case-Based Reasoning (en)
skos:prefLabel
  • Robot Navigation Using Genetic Algorithm and Case-Based Reasoning
  • Robot Navigation Using Genetic Algorithm and Case-Based Reasoning (en)
skos:notation
  • RIV/00216305:26210/03:PU40469!RIV/2004/MSM/262104/N
http://linked.open.../vavai/riv/strany
  • 328-329
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • 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
  • 625795
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/03:PU40469
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • motion planning, genetic algorithm, case-based reasoning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3FCE3DEF3466]
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 2003
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dvořák, Jiří
  • 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
  • Association for Engineering Mechanics
https://schema.org/isbn
  • 80-86246-18-3
http://localhost/t...ganizacniJednotka
  • 26210
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