G. Eleftheriou

Papers

Total Citations

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About

G. Eleftheriou is a researcher whose work bridges intelligent control systems and autonomous robotics, with a particular emphasis on real-time, high-speed performance. Their key research areas include fuzzy logic control, computer vision integration, and the optimization of autonomous mobile IoT devices. Eleftheriou’s most notable contribution is a novel fuzzy rule-based control system for fast line-following robots, which fuses proactive feed-forward control with computer vision to dramatically enhance tracking accuracy and speed. This work, published in 2020 and earning 11 citations, addresses critical challenges in the stability and responsiveness of autonomous vehicles, offering a practical framework for high-speed navigation. By combining sensor fusion with adaptive fuzzy logic, Eleftheriou has advanced the state of the art in real-time control for mobile robotics, making their research highly relevant for students and engineers working on autonomous systems, industrial automation, and intelligent transportation. Their approach stands out for its emphasis on proactive rather than reactive control, a forward-thinking strategy that promises to improve the reliability of autonomous vehicles in dynamic environments.