Muhammad Nizam Kamarudin

Papers

Total Citations

H-Index

About

Muhammad Nizam Kamarudin is a robotics researcher specializing in autonomous navigation, sensor integration, and mobile robot control systems. His work focuses on developing practical solutions for automated vehicle guidance and parking systems, with particular emphasis on nonholonomic mobile robots. His most cited paper (12 citations) presents an automatic parallel parking system that integrates ultrasonic sensors, rotary encoders, and path planning algorithms to enable backward parking maneuvers—a foundational contribution to autonomous vehicle parking technology. Kamarudin also pioneered a novel sensory approach for line-following mobile robots using metal detection sensors (6 citations), advancing automated guided vehicle (AGV) systems for industrial applications. His research demonstrates a strong commitment to bridging theoretical robotics with real-world implementation, particularly in sensor-based navigation and control. While his citation counts reflect a developing research profile, his work on practical automation solutions—from parking assistance to industrial AGVs—positions him as a contributor to the growing field of autonomous mobile robotics, with potential for broader impact as these technologies become increasingly integrated into everyday systems.