Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm

Anwar Apandi, Nur Ilyana and Hawari, Mohd Zarifitri Kasim (2021) Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm. Indonesian Journal Of Electrical Engineering And Computer Science, 23 (3). pp. 1376-1384. ISSN 2502-4752

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Abstract

A manufacturing fifth-generation (5G) mobile robot is a new development of industry 4.0 application, deploying an unmanned system. This study aims to implement a robot system for industrial applications in real-time with remote sensors to enable humans. Moreover, there is still some obstacle to cope with the better optimization solution for manufacturing 5G robot. This paper proposed a latency network algorithm for the manufacturing 5G mobile robot. An improved genetic algorithm (GA) by restructuring the genes is applied to plan a mobile robot path. The process of the robot path in a complex workspace is proposed, considering the node's collision-free constraint in the moving phase of a robot. The proposed scheme improves the robot path and delivery efficiency of the robot on average at 68% by moving on the industrial environment's shortest path and time average of the mobile robot reach its destination.

Item Type:	Article
Uncontrolled Keywords:	5G Mobile Robot, Genetic Algorithm, Industry 4.0, Path Planning
Divisions:	Faculty of Electrical Engineering > Department of Mechatronics Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	05 May 2022 10:18
Last Modified:	05 May 2022 10:18
URI:	http://eprints.utem.edu.my/id/eprint/25709
Statistic Details:	View Download Statistic

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