Papers
2
Total Citations
6
H-Index
2
About
Yu-Ta Lin is a researcher specializing in human-robot interaction, computer vision, and real-time face processing systems. His work focuses on developing intelligent robotic systems capable of autonomously recognizing and tracking human faces, a critical capability for creating more natural and efficient human-computer interfaces. Lin's notable contributions include the design of an automatic real-time face recognition system that leverages the two-dimensional Haar wavelet transform (2D-HWT) to extract low-frequency facial data from image sequences, enabling robots to reliably identify individuals during live interactions. Complementing this, his research on real-time face tracking addresses the growing demand for friendlier and more responsive robotic systems that can follow and engage with humans in dynamic environments. Both landmark studies, published in 2010, have each garnered 3 citations, reflecting their foundational role in the niche yet rapidly expanding field of service robotics and autonomous human-following systems. Lin's research contributes meaningfully to advancing robots that can serve and interact with people in practical, real-world settings, laying groundwork for future developments in socially intelligent machines.
Research Focus
Key Achievements
Top Papers
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