Oleksandr Oliinyk
Papers
1
Total Citations
2
H-Index
1
About
Oleksandr Oliinyk is a researcher advancing the field of intelligent control systems for autonomous robotics. His primary research areas include neuro-fuzzy control, multi-agent coordination, and the integration of artificial intelligence in mobile robotic platforms. Oliinyk’s major contribution lies in developing a base neuro-fuzzy control system that enables groups of mobile robotic platforms to coordinate movement in dynamic environments—a critical capability for both civil transport and military exploration. By combining neural networks with fuzzy logic, his work addresses the complex challenge of real-time task distribution and adaptive navigation without centralized supervision. His most cited paper, "Base Components of the Neuro-fuzzy Control System for a Group of Mobile Robotic Platforms" (2024), has already garnered attention with 2 citations, signaling early impact in a rapidly evolving field. This achievement highlights Oliinyk’s potential to shape the future of autonomous swarm robotics, where scalable, intelligent coordination is essential. For students and researchers interested in the intersection of AI and robotics, Oliinyk’s work offers a practical foundation for building adaptive, decentralized control systems.
Research Focus
Key Achievements
Top Papers
- 1