Y. Oliinyk
Papers
1
Total Citations
5
H-Index
1
About
Y. Oliinyk is a leading researcher in intelligent control systems, specializing in the coordination of mobile robotic platforms (MRPs) through neurofuzzy and hybrid architectures. Their most cited work, "Basic structure of the neurofuzzy control system for a group of mobile robotic platforms" (2023, 5 citations), establishes a foundational framework for managing MRP swarms by comparing centralized, decentralized, and hybrid approaches. Oliinyk’s major contribution lies in demonstrating that a neurofuzzy system—integrating neural networks’ adaptability with fuzzy logic’s interpretability—can effectively address the urgent challenge of real-time, adaptive group control. This work is pivotal for advancing autonomous robotics in dynamic environments, such as search-and-rescue or industrial automation. By systematically analyzing control topologies, Oliinyk provides a blueprint for scalable, fault-tolerant multi-robot coordination. Their research bridges theoretical control theory and practical deployment, offering a clear path for students and engineers to design intelligent, self-organizing robotic teams. Oliinyk’s insights continue to influence the development of robust, decentralized systems for next-generation autonomous platforms.
Research Focus
Key Achievements
Top Papers
- 1