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

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...

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Main Authors: Anwar Apandi, Nur Ilyana, Hawari, Mohd Zarifitri Kasim
Format: Article
Language:English
Published: Institute Of Advanced Engineering And Science (IAES) 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25709/2/25664-49401-1-PB.PDF
http://eprints.utem.edu.my/id/eprint/25709/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25664#:~:text=A%20manufacturing%20fifth%2Dgeneration%20(5G,application%2C%20deploying%20an%20unmanned%20system.&text=This%20paper%20proposed%20a%20latency,plan%20a%20mobile%20robot%20path.
http://doi.org/10.11591/ijeecs.v23.i3.pp1376-1384
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spelling my.utem.eprints.257092022-05-05T10:18:53Z http://eprints.utem.edu.my/id/eprint/25709/ Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm Anwar Apandi, Nur Ilyana Hawari, Mohd Zarifitri Kasim 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. Institute Of Advanced Engineering And Science (IAES) 2021-09 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25709/2/25664-49401-1-PB.PDF 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 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25664#:~:text=A%20manufacturing%20fifth%2Dgeneration%20(5G,application%2C%20deploying%20an%20unmanned%20system.&text=This%20paper%20proposed%20a%20latency,plan%20a%20mobile%20robot%20path. http://doi.org/10.11591/ijeecs.v23.i3.pp1376-1384
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description 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.
format Article
author Anwar Apandi, Nur Ilyana
Hawari, Mohd Zarifitri Kasim
spellingShingle Anwar Apandi, Nur Ilyana
Hawari, Mohd Zarifitri Kasim
Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm
author_facet Anwar Apandi, Nur Ilyana
Hawari, Mohd Zarifitri Kasim
author_sort Anwar Apandi, Nur Ilyana
title Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm
title_short Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm
title_full Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm
title_fullStr Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm
title_full_unstemmed Industry 4.0 With Intelligent Manufacturing 5G Mobile Robot Based On Genetic Algorithm
title_sort industry 4.0 with intelligent manufacturing 5g mobile robot based on genetic algorithm
publisher Institute Of Advanced Engineering And Science (IAES)
publishDate 2021
url http://eprints.utem.edu.my/id/eprint/25709/2/25664-49401-1-PB.PDF
http://eprints.utem.edu.my/id/eprint/25709/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25664#:~:text=A%20manufacturing%20fifth%2Dgeneration%20(5G,application%2C%20deploying%20an%20unmanned%20system.&text=This%20paper%20proposed%20a%20latency,plan%20a%20mobile%20robot%20path.
http://doi.org/10.11591/ijeecs.v23.i3.pp1376-1384
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score 13.211869

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