Mehdi Zare

Papers

Total Citations

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About

Mehdi Zare is a robotics and control systems researcher whose work focuses on the intelligent automation of unmanned aerial vehicles (UAVs) and industrial manipulators. His key research areas include fuzzy logic control, feedback linearization, and state estimation for robotic systems. Zare’s most-cited paper, “Regulating And Helix Path Tracking For Unmanned Aerial Vehicle (UAV) Using Fuzzy Logic Controllers” (2014, 8 citations), addresses the critical challenge of replacing human operators with autonomous robots in high-precision tasks, demonstrating how fuzzy logic can enable UAVs to perform complex path tracking with improved accuracy. His second major contribution, “Control Of Puma-560 Robot Using Feedback Linearization Control Method And Kalman Filter Estimator For Regulation And Tracking Purpose” (2014, 5 citations), tackles the control of a six-degree-of-freedom industrial robot commonly used in automotive welding. By integrating Kalman filter estimation with feedback linearization, Zare advanced the robustness of trajectory tracking in noisy environments. Though his citation counts are modest, his work represents foundational steps in bridging classical control theory with practical robotic applications, offering clear methodologies for students and researchers entering the field of autonomous systems and industrial automation.