Norasmadi Abd Rahim

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About

Dr. Norasmadi Abd Rahim is a robotics researcher specializing in autonomous navigation and sensor-based localization for mobile robots. His work focuses on developing practical, low-cost solutions for indoor robot positioning, with particular emphasis on ultrasonic sensor arrays and probabilistic algorithms. His most-cited paper, "Indoor mobile robot localization using KNN" (2016, 6 citations), introduces an innovative approach using a 16-element Ultrasonic Sensor Bank (USB-16) mounted on a mobile platform. The research combines Homogeneous Transformation Matrix (HTM) and trigonometric algorithms for wall mapping, while employing K-Nearest Neighbors (KNN) for robust localization. This work has contributed to advancing sensor fusion techniques for indoor environments where GPS is unavailable. Dr. Rahim's research addresses fundamental challenges in autonomous robotics, including obstacle avoidance, map building, and real-time positioning. His contributions are particularly relevant for applications in warehouse automation, service robotics, and smart manufacturing. By focusing on accessible sensor technologies and efficient algorithms, his work helps bridge the gap between theoretical robotics research and practical deployment in real-world indoor environments.