Yurii Opotyak
Papers
5
Total Citations
14
H-Index
2
About
Yurii Opotyak is a robotics researcher specializing in the control and coordination of mobile robotic platforms (MRPs), with a particular focus on neuro-fuzzy control systems for multi-robot groups. His work addresses the critical challenge of managing robot swarms in dynamic environments, comparing centralized, decentralized, and hybrid approaches to group management. Opotyak's major contributions include developing a neuro-fuzzy control system architecture that integrates fuzzy logic with neural networks to enable adaptive, real-time coordination of MRPs—a solution applicable to both civilian transport and exploration missions and military task distribution. His research also extends to the practical implementation of robotics, including methods for testing specialized components at operating clock frequencies and selecting onboard sensors for measuring motion parameters and spatial orientation under conditions of incomplete information and interference. With over 14 citations across his most-cited papers published between 2023 and 2025, Opotyak's work is gaining recognition for bridging theoretical control methods with hardware-level testing and component selection, making significant strides toward robust, real-world deployment of autonomous robotic teams.
Research Focus
Key Achievements
Top Papers
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