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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Nur Ilyana Anwar Apandi
Universiti Teknikal Malaysia Melaka (UTeM)

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Industry 4.0 with intelligent manufacturing 5G mobile robot based on genetic algorithm Mohd Zarifitri Kasim Hawari; Nur Ilyana Anwar Apandi
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1376-1384

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.
Co-Authors Mohd Zarifitri Kasim Hawari