Papers
6
Total Citations
43
H-Index
4
About
Ruzaidi Zamri is a robotics and manufacturing engineer whose research bridges intelligent systems, computer vision, and advanced manufacturing processes. His work has made notable contributions to the automation of polishing — a traditionally labor-intensive and skill-dependent manufacturing stage — through the integration of artificial neural networks and vision-based inspection systems. His most cited work, "Computer Vision Approach for Robotic Polishing Application Using Artificial Neural Networks" (2010, 18 citations), demonstrates his pioneering efforts to replace hazardous manual polishing workflows with intelligent robotic solutions capable of adapting to complex surface interactions. Complementing this, his research on surface defect characterization using contour dispersion methods highlights a commitment to precision quality control through non-contact measurement technologies. Zamri has also explored multi-legged robot locomotion through reinforcement learning and, more recently, human-machine interaction via IoT-enabled robotic arms, reflecting a broadening research vision that embraces emerging connectivity paradigms. Across his career, his publications have accumulated citations spanning manufacturing automation, surface engineering, and intelligent robotics, positioning him as a versatile contributor to applied robotics research with practical implications for modern smart manufacturing environments.
Research Focus
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Top Papers
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