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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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書誌詳細
第一著者:	Kasim Hawari, Mohd Zarifitri
フォーマット:	学位論文
言語:	English English
出版事項:	2023
主題:	T Technology (General) TJ Mechanical engineering and machinery
オンライン･アクセス:	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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