A HUMAN-CENTRIC APPROACH TO CONTROL COLLABORATIVE ROBOTS WITHIN INDUSTRY 5.0

Vladyslav Yevsieiev1; Mohammad Hamdan2,; Svitlana Maksymova1; Amer Abu-Jassar3

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Published

2025-05-10

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Vol. 5 No. 5 (2025): Multidisciplinary Journal of Science and Technology

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Articles

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A HUMAN-CENTRIC APPROACH TO CONTROL COLLABORATIVE ROBOTS WITHIN INDUSTRY 5.0. (2025). Multidisciplinary Journal of Science and Technology, 5(5), 351-361. https://mjstjournal.com/index.php/mjst/article/view/3440

How to Cite

A HUMAN-CENTRIC APPROACH TO CONTROL COLLABORATIVE ROBOTS WITHIN INDUSTRY 5.0. (2025). Multidisciplinary Journal of Science and Technology, 5(5), 351-361. https://mjstjournal.com/index.php/mjst/article/view/3440

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A HUMAN-CENTRIC APPROACH TO CONTROL COLLABORATIVE ROBOTS WITHIN INDUSTRY 5.0

Vladyslav Yevsieiev1

1Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Mohammad Hamdan2,

2Department of Cyber security, College of Information Technology, Amman Arab University, Amman, Jordan

Svitlana Maksymova1

1Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Amer Abu-Jassar3

3Department of Computer Science, College of Information Technology, Amman Arab University, Amman, Jordan

Keywords: Industry 5.0, Collaborative Robotics, Human-Centric Approach, Mathematical Modeling, Trust, Ergonomics, Cognitive Load.

Abstract

The article considers a human-centric approach to control collaborative robots in the context of the Industry 5.0 concept, which involves a harmonious combination of technological development with safety, comfort and human needs. Mathematical models are proposed for the quantitative assessment of the level of trust, ergonomic risk, cognitive load and integral human-centric value. A series of computer experiments are conducted to study the influence of parameters on the quality of human interaction with a collaborative system. The results confirm the feasibility of implementing such models for adaptive management of robotic systems taking into account the human factor.

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