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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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书目详细资料
主要作者: Kasim Hawari, Mohd Zarifitri
格式: Thesis
语言:English
English
出版: 2023
主题:
T Technology (General)
TJ Mechanical engineering and machinery
在线阅读: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
http://eprints.utem.edu.my/id/eprint/28285/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124155
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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
http://eprints.utem.edu.my/id/eprint/28285/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124155

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