Alexander Filonenko

Papers

Total Citations

H-Index

About

Alexander Filonenko is a researcher specializing in autonomous mobile robotics, with a focus on intelligent navigation and control systems. His work primarily addresses the challenge of real-time guidance for autonomous vehicles, leveraging fuzzy logic and vision-based sensing to enhance navigation accuracy. Filonenko’s most cited paper, “Vision-based heading angle estimation for an autonomous mobile robots navigation” (2014, 15 citations), introduces a fuzzy logic approach for real-time heading estimation using omnidirectional vision, a critical component for robust autonomous navigation in dynamic environments. This contribution underscores his expertise in integrating sensor data with decision-making algorithms to improve robot autonomy. Additionally, his related work, “Fuzzy Logic Guidance Control Systems for Autonomous Navigation Based on Omnidirectional Sensing” (2014, 2 citations), further explores the application of fuzzy logic in guidance systems, demonstrating his commitment to advancing practical, real-world robotic solutions. Filonenko’s research is foundational for students and engineers developing autonomous systems, offering insights into low-cost, efficient navigation methods that balance computational simplicity with reliable performance. His contributions highlight the ongoing importance of intelligent control in the evolution of mobile robotics.