COLLABORATIVE ROBOTS INTELLIGENT CONTROL USING FUZZY LOGIC WITHIN INDUSTRY

Vladyslav Yevsieiev; Svitlana Maksymova; Amer Abu-Jassar

Vol. 3 No. 10 (2025), Articles

Vol. 3 No. 10 (2025)

COLLABORATIVE ROBOTS INTELLIGENT CONTROL USING FUZZY LOGIC WITHIN INDUSTRY

Articles

Published 2025-10-06

Vladyslav Yevsieiev⁺⁻
Svitlana Maksymova⁺⁻
Amer Abu-Jassar⁺⁻

Vladyslav Yevsieiev

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Svitlana Maksymova

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Amer Abu-Jassar

Department of Computer Science, College of Information Technology, Amman Arab University, Amman, Jordan

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Keywords

Intelligent Control, Collaborative Robots, Industry 5.0, Fuzzy Logic, Numerical Modeling, Collision Avoidance, Multi-User Environment, Adaptability, Digital Twins.

How to Cite

COLLABORATIVE ROBOTS INTELLIGENT CONTROL USING FUZZY LOGIC WITHIN INDUSTRY . (2025). Journal of Universal Science Research, 3(10), 7-25. http://universalpublishings.com/index.php/jusr/article/view/13781

Abstract

The article presents a study of intelligent control of collaborative robots using fuzzy logic within Industry 5.0, which is aimed at ensuring safe and effective interaction between robots and a dynamic environment. The proposed mathematical models and numerical simulations demonstrated the ability of the system to successfully avoid collisions and reach target points while maintaining smoothness and optimality of trajectories. The results obtained confirm the advantages of fuzzy logic for describing uncertainty and making decisions in real time, which is critically important for the development of flexible manufacturing systems. The presented approach opens up prospects for further integration with digital twins and machine learning in order to increase the level of autonomy and adaptability of robotic systems.

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DOI

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