M. Asyraf Azman

Papers

Total Citations

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About

M. Asyraf Azman is a researcher whose work bridges robotics, computer vision, and human–machine interaction, with a particular focus on autonomous mobile robot navigation. His most-cited paper, "Real-Time Hand Gestures System for Mobile Robots Control" (2012, 30 citations), introduces a vision-based approach that allows operators to control robots in indoor environments using intuitive hand gestures. This work addresses a key challenge in robotics: enabling natural, real-time communication between humans and machines without the need for complex interfaces. By integrating image pre-processing and feature extraction techniques, Azman’s system enhances the responsiveness and accessibility of mobile robots, contributing to safer and more efficient autonomous navigation. His research has implications for assistive robotics, industrial automation, and human–robot collaboration. With a citation record that underscores the foundational nature of his contributions, Azman is recognized for advancing practical, real-world applications of gesture-based control systems. His work continues to inspire developments in vision-guided robotics and intelligent human–machine interfaces.