Saghar Rashidi

Papers

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About

Saghar Rashidi is a researcher whose work lies at the intersection of robotics, control systems, and fuzzy logic, with a particular focus on enhancing the reliability of teleoperation systems. Her most cited paper, "Extended fuzzy logic controller for uncertain teleoperation system" (2016, 13 citations), addresses a critical challenge in remote surgical robotics: ensuring stability and precise position tracking despite nonlinear dynamics and unknown parameters in master-slave robot configurations. By developing an extended fuzzy logic controller, Rashidi provided a robust solution to guarantee convergence of tracking errors—a fundamental requirement for safe and effective teleoperation. This contribution is especially significant in medical contexts, where even minor inaccuracies can have serious consequences. Her work bridges theoretical control engineering with practical applications in minimally invasive and remote surgery, demonstrating how intelligent control can overcome the inherent uncertainties of real-world robotic systems. Rashidi’s research continues to influence the design of more resilient and adaptive teleoperation platforms, making her a notable voice in the advancement of human-robot interaction for critical applications.