Path planning method for mobile robot based on ant colony optimization algorithm

A novel path planning approach based on ACO was presented aiming at mobile robots in structured environments. The information of environment constrains and path length was integrated in the fitness function which was computed by neural network, the path nodes were viewed as an ant, so with the quali...

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Bibliographic Details
Published in2008 3rd IEEE Conference on Industrial Electronics and Applications pp. 298 - 301
Main Authors Yuwan Cen, Choingzhi Song, Nenggang Xie, Lu Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2008
Subjects
Ant colony optimization
ant colony optimization (ACO)
Approximation algorithms
Codes
Heuristic algorithms
Industries
mobile robot
Navigation
Optimization
particle swarm optimization algorithm (PSO)
Path planning
Planning
process industry
Transforms
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ISBN9781424417179
1424417171
ISSN2156-2318
DOI10.1109/ICIEA.2008.4582528

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Summary:A novel path planning approach based on ACO was presented aiming at mobile robots in structured environments. The information of environment constrains and path length was integrated in the fitness function which was computed by neural network, the path nodes were viewed as an ant, so with the quality of optimization of ant colony optimization algorithm, the best path was found. Finally by computer simulation, it is got that the algorithm is rational and can be used in process industry warehouse patrol measurement mobile robot real-time navigation.
ISBN:9781424417179
1424417171
ISSN:2156-2318
DOI:10.1109/ICIEA.2008.4582528