Wai Keung Wong
Hong Kong Polytechnic University, Universiti of Malaysia Sabah
Papers
8
Total Citations
106
H-Index
6
About
Wai Keung Wong is a researcher whose work bridges robotics, computer vision, and intelligent systems, with a focus on soft-tissue motion tracking and textile automation. His key contributions lie in developing model-based visual-tracking techniques for 3-D soft-tissue motion, crucial for robot-assisted minimally invasive surgery. His 2012 paper, "A Quasi-Spherical Triangle-Based Approach for Efficient 3-D Soft-Tissue Motion Tracking," with 33 citations, addresses the challenge of tracking complex tissue dynamics using efficient geometric models. Wong further advanced this area with his 2014 work on spatial-color joint probability distribution and thin-plate spline models, accumulating 26 citations. Beyond medical robotics, Wong has made notable strides in textile industry automation, designing smart robotic hangers for garment inspection. His 2008 paper on a smart hanger system, with 11 citations, and subsequent fuzzy logic control and mechatronic designs, demonstrate his ability to integrate robotics and control systems for practical quality control. Additionally, his 2017 study on computational thinking in primary school students, with 17 citations, highlights his interest in educational robotics, exploring how programming and tinkering foster 21st-century skills. Wong’s work is characterized by its interdisciplinary impact, from surgical assistance to manufacturing and education.
Research Focus
Key Achievements
Top Papers
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- 6A Robot System for the Control of Fabric Tension for Inspection7 citations · 2007
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