Muhamad Hasbullah Mohd Razali

Papers

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About

Dr. Muhamad Hasbullah Mohd Razali is a specialist in mobile robotics and sensor-based environmental perception, with a core focus on cost-effective sensing solutions for autonomous navigation. His most cited work, "Multi channel ultrasonic sensing system for wall features extraction" (2014), addresses a fundamental challenge in robotics: how to reliably extract structural features from an environment using affordable ultrasonic sensors. By developing a multi-channel system, Dr. Razali improved the accuracy of wall detection and mapping, enabling mobile robots to better understand their surroundings for tasks like obstacle avoidance and target tracking. While his citation count is modest—reflecting a niche, application-driven field—his contributions are significant for advancing low-cost sensing in real-world robotic deployments. His research bridges the gap between sensor simplicity and reliable feature extraction, offering practical solutions for robots operating in cluttered or indoor environments. Dr. Razali’s work underscores the value of engineering elegant, economical approaches to complex perception problems, making him a notable figure in the development of accessible robotic navigation technologies.