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A review on autonomous mobile robot path planning algorithms

The emerging trend of modern industry automation requires intelligence to be embedded into mobile robot for ensuring optimal or near-optimal solutions to execute certain task. This yield to a lot of improvement and suggestions in many areas related to mobile robot such as path planning. The pu...

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Main Authors: Noraziah, Adzhar, Yuhani, Yusof, Muhammad Azrin, Ahmad
Format: Article
Language:English
Published: ASTES Publishers 2020
Subjects:
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/30340/7/A%20Review%20on%20Autonomous%20Mobile%20Robot.pdf
http://umpir.ump.edu.my/id/eprint/30340/
http://dx.doi.org/10.25046/aj050330
http://dx.doi.org/10.25046/aj050330
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spelling my.ump.umpir.303402021-10-14T07:27:49Z http://umpir.ump.edu.my/id/eprint/30340/ A review on autonomous mobile robot path planning algorithms Noraziah, Adzhar Yuhani, Yusof Muhammad Azrin, Ahmad QA Mathematics The emerging trend of modern industry automation requires intelligence to be embedded into mobile robot for ensuring optimal or near-optimal solutions to execute certain task. This yield to a lot of improvement and suggestions in many areas related to mobile robot such as path planning. The purpose of this paper is to review the mobile robots path planning problem, optimization criteria and various methodologies reported in the literature for global and local mobile robot path planning. In this paper, commonly use classical approaches such as cell decomposition (CD), roadmap approach (RA), artificial potential field (AFP), and heuristics approaches such as genetic algorithm (GA), particle swarm optimization (PSO) approach and ant colony optimization (ACO) method are considered.It is observed that when it comes to dynamic environment where most of the information are unknown to the mobile robots before starting, heuristics approaches are more popular and widely used compared to classical approaches since it can handle uncertainty, interact with objects and making quick decision. Finally, few suggestions for future research work in this field are addressed at the end of this paper. ASTES Publishers 2020 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/30340/7/A%20Review%20on%20Autonomous%20Mobile%20Robot.pdf Noraziah, Adzhar and Yuhani, Yusof and Muhammad Azrin, Ahmad (2020) A review on autonomous mobile robot path planning algorithms. Advances in Science, Technology and Engineering Systems Journal (ASTESJ), 5 (3). pp. 236-240. ISSN 2415-6698 http://dx.doi.org/10.25046/aj050330 http://dx.doi.org/10.25046/aj050330
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Noraziah, Adzhar
Yuhani, Yusof
Muhammad Azrin, Ahmad
A review on autonomous mobile robot path planning algorithms
description The emerging trend of modern industry automation requires intelligence to be embedded into mobile robot for ensuring optimal or near-optimal solutions to execute certain task. This yield to a lot of improvement and suggestions in many areas related to mobile robot such as path planning. The purpose of this paper is to review the mobile robots path planning problem, optimization criteria and various methodologies reported in the literature for global and local mobile robot path planning. In this paper, commonly use classical approaches such as cell decomposition (CD), roadmap approach (RA), artificial potential field (AFP), and heuristics approaches such as genetic algorithm (GA), particle swarm optimization (PSO) approach and ant colony optimization (ACO) method are considered.It is observed that when it comes to dynamic environment where most of the information are unknown to the mobile robots before starting, heuristics approaches are more popular and widely used compared to classical approaches since it can handle uncertainty, interact with objects and making quick decision. Finally, few suggestions for future research work in this field are addressed at the end of this paper.
format Article
author Noraziah, Adzhar
Yuhani, Yusof
Muhammad Azrin, Ahmad
author_facet Noraziah, Adzhar
Yuhani, Yusof
Muhammad Azrin, Ahmad
author_sort Noraziah, Adzhar
title A review on autonomous mobile robot path planning algorithms
title_short A review on autonomous mobile robot path planning algorithms
title_full A review on autonomous mobile robot path planning algorithms
title_fullStr A review on autonomous mobile robot path planning algorithms
title_full_unstemmed A review on autonomous mobile robot path planning algorithms
title_sort review on autonomous mobile robot path planning algorithms
publisher ASTES Publishers
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/30340/7/A%20Review%20on%20Autonomous%20Mobile%20Robot.pdf
http://umpir.ump.edu.my/id/eprint/30340/
http://dx.doi.org/10.25046/aj050330
http://dx.doi.org/10.25046/aj050330
_version_ 1715189872031956992
score 13.211869

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