Publication detail

Using Case-Based Reasoning and Genetic Algorithms for Mobile Robot Path Planning.

DVOŘÁK, J., KRČEK, P., SAMOHÝL, P.

Original Title

Using Case-Based Reasoning and Genetic Algorithms for Mobile Robot Path Planning.

Type

conference paper

Language

English

Original Abstract

The aim of the robot path planning is searching for a path from a start to a goal position without collisions with known obstacles minimizing length, difficulty and risk of the path. A two-dimensional grid with known static obstacles models the robot environment. When planning a path, the most similar cases (already used paths or their parts) are searched for to be subsequently adapted to the new problem. A genetic algorithm is used to find the missing parts of the constructed paths or new paths if similar cases are not found or adapted solutions are not good enough.

Key words in English

Mobile robot, path planning, case-based reasoning, genetic algorithm

Authors

DVOŘÁK, J., KRČEK, P., SAMOHÝL, P.

RIV year

2004

Released

1. 9. 2004

Publisher

MARQ

Location

Ostrava

ISBN

80-86840-03-4

Book

Proceedings of XXVIth International Autumn Colloquium Advanced Simulation of Systems ASIS 2004

Pages from

185

Pages to

190

Pages count

6

BibTex

@inproceedings{BUT16995,
  author="Jiří {Dvořák} and Petr {Krček} and Petr {Samohýl}",
  title="Using Case-Based Reasoning and Genetic Algorithms for Mobile Robot Path Planning.",
  booktitle="Proceedings of XXVIth International Autumn Colloquium Advanced Simulation of Systems ASIS 2004",
  year="2004",
  pages="6",
  publisher="MARQ",
  address="Ostrava",
  isbn="80-86840-03-4"
}