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: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute Of Advanced Engineering And Science (IAES)
2021
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| 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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| Summary: | 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. |
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