Muhammad Suzuri Hitam

Papers

Total Citations

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About

Dr. Muhammad Suzuri Hitam is a researcher whose foundational work lies at the intersection of intelligent control systems and robotics. His key research areas encompass neural network applications, fuzzy logic control, and the real-time implementation of advanced algorithms for industrial automation. Dr. Hitam’s major contributions include pioneering a closed-loop methodology for identifying the forward dynamics of industrial robots using multilayer feed-forward neural networks, a technique that effectively overcomes the limitations of traditional open-loop identification. He also advanced the field by applying fuzzy logic to achieve real-time control of actual industrial robots, leveraging transputer-based technology to maintain short sample times—a critical requirement for practical deployment. While his most-cited papers, such as "Identification and control of a robot using a neural network" (2002, 3 citations) and "Fuzzy logic control of an industrial robot" (2002, 2 citations), have modest citation counts, they represent early and insightful explorations into bridging theoretical control methods with real-world robotic systems. His work is notable for addressing the practical difficulties and implementation challenges that arise when moving from simulation to hardware, offering valuable lessons for researchers in robotics and intelligent control.