Muhammad, Aisha and Ali, Mohammad A.H. and Shanono, Ibrahim Haruna (2021) A review : On intelligent mobile robot path planning techniques. In: ISCAIE 2021 - IEEE 11th Symposium on Computer Applications and Industrial Electronics. 11th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2021 , 3 - 4 April 2021 , Penang. pp. 53-58. (9431819). ISBN 978-166540338-2 (Published)
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Abstract
Path planning is one of the vital and defining features of autonomous robots. Robot navigation is a process designed to avoid any hitch or obstacles to aim at a particular position. This paper presents a brief review of the intelligent robot navigation methods. A brief discussion on the approaches is made to understand the path planning techniques to identify their research gap. The artificial intelligence methods such as genetic algorithm (GA), fuzzy logic (FL), ant colony optimization (ACO), neural network (NN), firefly algorithm (FA), particle swarm optimization (PSO), bacterial foraging optimization (BFO), artificial bee colony (ABC), and other miscellaneous algorithms are reviewed. This paper further concludes with a discussion of the analysis of the reviewed articles and the challenges faced.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | A-Star; Artificial intelligent; Mobile robots; Neural network; Path planning |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TS Manufactures |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 30 Oct 2024 04:33 |
| Last Modified: | 30 Oct 2024 04:33 |
| URI: | http://umpir.ump.edu.my/id/eprint/42355 |
| Download Statistic: | View Download Statistics |
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