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Open AccessArticle

Path Planning for the Mobile Robot: A Review

School of Mechanical & Materials Engineering, Jiujiang University, Jiujiang 332005, Jiangxi Province, China
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Symmetry 2018, 10(10), 450; https://doi.org/10.3390/sym10100450
Received: 19 August 2018 / Revised: 20 September 2018 / Accepted: 22 September 2018 / Published: 1 October 2018
(This article belongs to the Special Issue Symmetry in Engineering Sciences)
Good path planning technology of mobile robot can not only save a lot of time, but also reduce the wear and capital investment of mobile robot. Several methodologies have been proposed and reported in the literature for the path planning of mobile robot. Although these methodologies do not guarantee an optimal solution, they have been successfully applied in their works. The purpose of this paper is to review the modeling, optimization criteria and solution algorithms for the path planning of mobile robot. The survey shows GA (genetic algorithm), PSO (particle swarm optimization algorithm), APF (artificial potential field), and ACO (ant colony optimization algorithm) are the most used approaches to solve the path planning of mobile robot. Finally, future research is discussed which could provide reference for the path planning of mobile robot. View Full-Text
Keywords: path planning; mobile robot; environmental modeling; optimization criteria; path search path planning; mobile robot; environmental modeling; optimization criteria; path search
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Zhang, H.-Y.; Lin, W.-M.; Chen, A.-X. Path Planning for the Mobile Robot: A Review. Symmetry 2018, 10, 450.

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