Fethi Filali

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About

Fethi Filali is a robotics and artificial intelligence researcher whose work focuses on intelligent autonomous systems and computer vision for real-world applications. His key research areas include autonomous mobile robotics, SLAM (Simultaneous Localization and Mapping), and AI-driven perception in crowded environments. Filali’s major contributions center on developing practical, deployable systems that bridge the gap between laboratory research and everyday utility. His most notable work, the "Haris" autonomous mobile robot for smart parking assistance (2024, 6 citations), introduces a novel system that combines license plate recognition with SLAM-based navigation to autonomously track vehicle locations in congested parking lots, eliminating the need for human intervention. Additionally, his research on real-time AI-based inference of gender and age in highly crowded environments (2023, 3 citations) tackles the significant challenge of accurate demographic identification under noisy, high-density conditions, with implications for security, marketing, and social robotics. Filali’s work demonstrates a clear commitment to creating robust, intelligent machines that operate reliably in complex, dynamic settings, making him a promising voice in the advancement of autonomous systems and applied computer vision.