Ho Lam Yung
Papers
2
Total Citations
9
H-Index
2
About
Ho Lam Yung is a researcher whose work lies at the intersection of robotics, computer vision, and control systems, with a primary focus on visual servoing—a technique that uses visual feedback to precisely position robotic end-effectors. His major contributions address a fundamental challenge in this field: the impact of image noise on measurement accuracy. In his most-cited work, "Performance limitation analysis in visual servo systems: Bounding the location error introduced by image points matching" (2009, 7 citations), Yung developed a rigorous framework to quantify and bound the positioning errors that arise from imperfect feature matching in noisy images. This analysis provides critical theoretical guarantees for robotic precision, enabling more reliable automation in manufacturing and surgical applications. His subsequent paper, "Image Measurement Errors in Visual Servoing: Estimating the Induced Positioning Error" (2010, 2 citations), further refines these error estimation techniques. While his citation counts reflect a focused, specialized audience, Yung’s work is foundational for researchers seeking to bridge the gap between theoretical control limits and practical robotic performance, offering essential tools for designing robust visual servo systems in real-world environments.
Research Focus
Key Achievements
Top Papers
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- 2