A review: On intelligent mobile robot path planning techniques
Document Type
Conference Item
Publication Date
4-1-2021
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.
Keywords
A-Star, Artificial Intelligent, Mobile Robots, Neural network, Path Planning
Divisions
mechanical
Funders
Universiti Malaysia Pahang [Grant No: PGRS1903182]
Event Title
11th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2021
Event Location
Penang
Event Dates
3 - 4 April 2021
Event Type
conference