Yasmine Saidi

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About

Yasmine Saidi is a robotics researcher whose work centers on robust navigation and control for mobile robots and unmanned ground vehicles. Her key research areas include fuzzy logic control, wheel slip dynamics, and optimal trajectory planning under uncertainty. Saidi’s major contribution is the development of a full dynamic model for differential drive wheeled mobile robots (DDWMR) that accounts for wheel slipping, a critical challenge in real-world terrain. In her most-cited paper (2019, 20 citations), she implemented and validated a Type-2 fuzzy logic controller that outperformed traditional Type-1 controllers in handling parameter uncertainties and slip, demonstrating significant improvements in navigation robustness. Her more recent work (2024, 4 citations) advances this by integrating optimal trajectory planning with robust control to ensure stability and real-time tracking despite disturbances. Saidi’s research directly addresses the gap between theoretical control and practical deployment, making her contributions valuable for autonomous systems operating in unpredictable environments. Her work is particularly notable for its focus on dynamic stability limits, offering a foundation for safer and more reliable field robotics.