Mazidah Tajjudin

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About

Mazidah Tajjudin is a researcher whose work bridges control systems, robotics, and intelligent automation. Her key research areas include fuzzy logic control, microcontroller-based systems, and robotic arm positioning. One of her most notable contributions is the development of a robotic arm position control system using Mamdani fuzzy logic on an Arduino microcontroller, a study that has garnered 5 citations. This work addresses a critical challenge in manufacturing: the inaccuracy of direct positioning control in robotic arms operating in dynamic environments. By integrating fuzzy logic, Tajjudin’s approach enhances precision without relying on external sensors, offering a cost-effective solution for industrial automation. Her research demonstrates a practical application of artificial intelligence in embedded systems, making advanced control accessible to smaller-scale operations. Tajjudin’s work is particularly valuable for students and engineers exploring the intersection of robotics and soft computing, as it provides a clear, implementable framework for improving robotic accuracy. Her contributions underscore the potential of fuzzy logic to solve real-world engineering problems, positioning her as a thoughtful innovator in the field of intelligent control systems.