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About

Imen Hassani is a robotics researcher whose work sits at the intersection of autonomous navigation, path planning, and advanced control systems for mobile robots. Her research focuses primarily on solving two interconnected challenges: enabling wheeled mobile robots to navigate safely through cluttered environments and ensuring precise trajectory tracking under real-world conditions. Hassani's most influential contribution is her Free Segments and Turning Points algorithm, introduced in 2018 and accumulating 64 citations, which provides mobile robots with efficient, collision-free path planning in known environments. She has since expanded this framework across multiple studies, refining navigation strategies for both simple and complex, static and dynamic settings. Complementing her planning work, she has developed sophisticated control architectures — including backstepping controllers, sliding mode control, and neuro-fuzzy systems — that address kinematic and dynamic challenges, disturbances, and uncertainties inherent in nonholonomic robot motion. With a cumulative citation count exceeding 110 across her published works, Hassani has established herself as a productive voice in autonomous robotics research. Her interdisciplinary approach, bridging algorithmic path planning with intelligent and robust control theory, makes her portfolio particularly valuable to researchers and students working on practical mobile robot deployment and real-world autonomous systems.