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About

Oleksandr Skakodub is a researcher advancing the field of intelligent robotics through the structural and parametric optimization of fuzzy control and decision-making systems. His work focuses on enhancing the performance of autonomous and remotely operated mobile robots, including quadrotor drones, by refining the linguistic terms and membership functions that underpin fuzzy logic controllers. Skakodub’s most-cited paper, “Optimization of Linguistic Terms' Shapes and Parameters: Fuzzy Control System of a Quadrotor Drone” (2021, 7 citations), introduces a comprehensive approach to fine-tuning fuzzy systems for improved stability and responsiveness in aerial robotics. He further extends this research in “Swarm Optimization of Fuzzy Systems for Mobile Robots with Remote Control” (2023, 6 citations), where he applies bioinspired swarm techniques to create more effective intelligent control systems. His contributions are notable for bridging theoretical optimization with practical robotics applications, offering scalable solutions for real-time control challenges. With a growing citation record and a focus on intelligent information technology, Skakodub’s work is shaping the next generation of adaptive, autonomous systems.