Z M Razlan
Papers
5
Total Citations
21
H-Index
3
About
Z M Razlan is a researcher whose work bridges human-computer interaction, robotics, and industrial automation. His primary research areas include gesture recognition, human motion analysis, fuzzy logic control for mobile robots, and smart robotic systems. Razlan’s major contributions include developing an ontological framework for arm gesture information, which provides a structured approach to interpreting human upper-body movements for intuitive human-computer interfaces. He has also advanced finger movement analysis using motion capture systems and GloveMAP technology, enabling more natural input methods for robotic controls and HCI applications. In mobile robotics, Razlan has explored fuzzy logic controllers for straight-line navigation and created user-friendly graphical interfaces for dead reckoning systems, enhancing robot positioning and control. Notably, his work on a smart robotic precision painting system for Boeing aircraft composite panels addresses industrial challenges by automating manual painting processes, improving efficiency and quality. With over 20 citations across his most-cited papers, Razlan’s research demonstrates practical impact in both academic and industrial settings, particularly in gesture-based interaction and autonomous systems.
Research Focus
Key Achievements
Top Papers
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