Muhammad Luqman Muhd Zain

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About

Muhammad Luqman Muhd Zain is an emerging researcher in robotics and control systems, with a focus on advancing automation and educational technologies. His work centers on the integration of intelligent control strategies for robotic arms, particularly through the use of IoT systems and hybrid controllers. In his 2024 study, "Control Robotic Arm Workstation Using IoT System for Education," he demonstrated how networked robotics can enhance hands-on learning, earning 3 citations for its practical approach to modernizing educational tools. His 2025 paper, "Integration of Adaptive PID and Fuzzy Logic Controller for Improved Precision and Stability in Robotic Arms," introduces a novel hybrid control method that combines the robust stability of PID controllers with the adaptive flexibility of fuzzy logic, achieving superior precision in robotic manipulation. With 1 citation already, this work highlights his ability to optimize complex systems for real-world applications. Muhd Zain’s contributions are particularly notable for bridging theoretical control engineering with accessible, deployable solutions, making him a promising voice in the field of robotics and automation engineering.