Recep Kozan

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About

Recep Kozan is a researcher specializing in robotics, control systems, and intelligent automation, with a particular focus on the precise control of multi-degree-of-freedom robotic manipulators. His work addresses one of the most challenging problems in modern robotics: developing robust and responsive control strategies for highly nonlinear, multi-input multi-output (MIMO) robotic systems used in manufacturing and industrial environments. Kozan's most notable contributions include comparative investigations of advanced control architectures for 6-DOF robot arms. His 2016 study examining Real Time PID versus 2-DOF PID controllers has garnered 20 citations, establishing him as a credible voice in practical robotic control design. Complementing this, his earlier work on real-time visual servoing using Fuzzy-PID controllers — cited 12 times — demonstrates his interest in integrating computer vision with intelligent control systems to enhance robotic dexterity and adaptability. By combining classical control theory with fuzzy logic and vision-based feedback, Kozan bridges traditional engineering approaches with modern computational intelligence. His research holds practical significance for automation engineers and robotics students seeking effective solutions for real-world manipulator control challenges in dynamic industrial settings.