OPTIMIZATION OF REMOTE CONTROL OF MEASUREMENT RESULTS THROUGH A MANIPULATOR

Authors

  • Akhmadaliyev Anvarbek Alijon o’g’li Namangan Institute of Engineering and Technology, Namangan, Uzbekistan

Keywords:

Manipulator, Measurement Systems, Remote Control, Optimization, Stochastic Optimization, Gradient Descent, Genetic Algorithms, Model-Based Control, Measurement Errors, Robot Control.

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.

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Published

2024-11-26

How to Cite

Akhmadaliyev Anvarbek Alijon o’g’li. (2024). OPTIMIZATION OF REMOTE CONTROL OF MEASUREMENT RESULTS THROUGH A MANIPULATOR. Web of Technology: Multidimensional Research Journal, 2(11), 332–338. Retrieved from https://webofjournals.com/index.php/4/article/view/2278

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