OPTIMIZATION OF REMOTE CONTROL OF MEASUREMENT RESULTS THROUGH A MANIPULATOR

dc.contributor.author	Akhmadaliyev Anvarbek Alijon o’g’li
dc.date.accessioned	2025-12-29T18:16:33Z
dc.date.issued	2024-11-26
dc.description.abstract	It is aimed at optimizing remote control of manipulators based on measurement results in automated systems. As the use of robotic systems in various industries is increasing, precise control of robotic manipulators is essential to achieve high precision and efficiency. Learns how to use optimization algorithms such as Gradient Descent, Genetic Algorithms, and Kalman Filtering to adjust manipulator movements based on feedback from measurement systems.
dc.format	application/pdf
dc.identifier.uri	https://webofjournals.com/index.php/4/article/view/2278
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/25315
dc.language.iso	eng
dc.publisher	Web of Journals Publishing
dc.relation	https://webofjournals.com/index.php/4/article/view/2278/2260
dc.rights	https://creativecommons.org/licenses/by-nc-nd/4.0
dc.source	Web of Technology: Multidimensional Research Journal; Vol. 2 No. 11 (2024): WOT; 332-338
dc.source	2938-3757
dc.subject	Manipulator, Measurement Systems, Remote Control, Optimization, Stochastic Optimization, Gradient Descent, Genetic Algorithms, Model-Based Control, Measurement Errors, Robot Control.
dc.title	OPTIMIZATION OF REMOTE CONTROL OF MEASUREMENT RESULTS THROUGH A MANIPULATOR
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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