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DVOŘÁK, J.; KRČEK, P.
Original Title
Using Genetic Algorithms for Mobile Robot Path Planning
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
In this paper, we deal with mobile robot path planning in two-dimensional continuous space in which known static polygonal obstacles are defined. The aim of the path planning is finding a path from a start to a goal position without collisions with known obstacles minimizing an evaluation function. We investigate the possibilities of using genetic algorithms for solving this problem and describe various problem-specific genetic operators and fitness functions. We study also the ability of the proposed algorithm to adapt a previous solution to changes of start and/or goal positions and changes in the environment. Results of computational experiments are presented.
English abstract
Keywords
mobile robot; path planning; genetic algorithms
Key words in English
Authors
RIV year
2010
Released
01.06.2008
Publisher
FME BUT
Location
Brno
ISBN
978-80-214-3675-6
Book
Proceedings of the 14th International Conference on Soft Computing MENDEL 2008
Pages from
32
Pages to
37
Pages count
6
BibTex
@inproceedings{BUT33207, author="Jiří {Dvořák} and Petr {Krček}", title="Using Genetic Algorithms for Mobile Robot Path Planning", booktitle="Proceedings of the 14th International Conference on Soft Computing MENDEL 2008", year="2008", number="1", pages="32--37", publisher="FME BUT", address="Brno", isbn="978-80-214-3675-6" }