Optimization of mobile robot path planning in semi-dynamic environment using genetic algorithm
In an Industry 4.0 framework, mobile robots are designed to perform tasks autonomously, allowing manufacturers to transform their operations which can be carried out through various integrated applications. Manufacturers could improve their productivity by remotely monitoring mobile robots and contr...
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| Format: | Thèse |
| Langue: | anglais anglais |
| Publié: |
2023
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| Accès en ligne: | http://eprints.utem.edu.my/id/eprint/28285/1/Optimization%20of%20mobile%20robot%20path%20planning%20in%20semi-dynamic%20environment%20using%20genetic%20algorithm.pdf http://eprints.utem.edu.my/id/eprint/28285/2/Optimization%20of%20mobile%20robot%20path%20planning%20in%20semi-dynamic%20environment%20using%20genetic%20algorithm.pdf |
Internet
http://eprints.utem.edu.my/id/eprint/28285/1/Optimization%20of%20mobile%20robot%20path%20planning%20in%20semi-dynamic%20environment%20using%20genetic%20algorithm.pdfhttp://eprints.utem.edu.my/id/eprint/28285/2/Optimization%20of%20mobile%20robot%20path%20planning%20in%20semi-dynamic%20environment%20using%20genetic%20algorithm.pdf