Mohamed Alfidi

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About

Mohamed Alfidi is a researcher whose work sits at the intersection of nonlinear control theory and intelligent systems, with a particular focus on stabilizing complex, underactuated mechanical systems. His most-cited paper, "Fuzzy Logic Control for Balancing a Two-Armed Inverted Pendulum" (2023, 2 citations), tackles the challenging problem of stabilizing a unicycle robot—a single-wheeled, inherently unstable platform. Alfidi models this system as an inverted pendulum with two arms, leveraging fuzzy logic to design a robust controller that prevents collisions with the ground. This work is notable for its practical implications: by enhancing the unicycle robot's ability to maintain balance and navigate safely, Alfidi contributes to the development of more resilient and autonomous mobile robots. While his citation count is still growing, his research addresses a fundamental gap in nonlinear control, offering a computationally efficient alternative to traditional methods. Alfidi’s contributions are particularly relevant for students and researchers in robotics and control engineering, as they demonstrate how fuzzy logic can simplify the stabilization of high-degree-of-freedom systems. His work lays a foundation for future advances in agile, single-wheeled robots used in surveillance, exploration, and service applications.