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About

Faten Cherni is a robotics researcher whose work centers on autonomous mobile robot navigation, path planning, and intelligent control systems. Her research addresses one of the most persistent challenges in robotics: enabling mobile robots to navigate efficiently and safely through dynamic, unknown environments filled with static and moving obstacles. Cherni's most significant contributions lie in developing novel navigation algorithms, including a tangent circle algorithm that provides robots with reliable collision-free path planning in complex dynamic settings. She has also advanced environment representation techniques that integrate both global and local navigation strategies, equipping robots with the intelligence needed to adapt to unforeseen obstacles in real time. Her work on the Beam Curvature Method further demonstrates her commitment to practical, reactive obstacle avoidance for two-wheeled mobile robots operating in partially known spaces. Beyond navigation, Cherni has tackled the critical issue of chattering reduction in nonholonomic mobile robot control inputs using fuzzy logic — a contribution that improves the smoothness and reliability of robot motion control. Her published research has accumulated citations across multiple studies, reflecting a growing recognition of her work within the robotics and autonomous systems community. Her body of work offers valuable frameworks for students and engineers designing next-generation autonomous robotic systems.