Publication detail
Using Case-Based Reasoning and Genetic Algorithms for Mobile Robot Path Planning.
DVOŘÁK, J. KRČEK, P. SAMOHÝL, P.
English title
Using Case-Based Reasoning and Genetic Algorithms for Mobile Robot Path Planning.
Type
Paper in proceedings (conference paper)
Language
en
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.
Released
2004-09-01
Publisher
MARQ
Location
Ostrava
ISBN
80-86840-03-4
Book
Proceedings of XXVIth International Autumn Colloquium Advanced Simulation of Systems ASIS 2004
Pages from–to
185–
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"
}