Yu‐Chen Lee

China Medical University, Ming Chuan University

Papers

Total Citations

H-Index

About

Yu-Chen Lee is a researcher at the intersection of traditional medicine and modern robotics, with key contributions in intelligent interactive systems and biomedical engineering. Her most impactful work addresses the automation of acupuncture—a cornerstone of traditional Chinese medicine—by developing an automated acupoint positioning system for laser acupuncture. This innovation offers a painless, infection-free alternative to traditional needle-based treatment, addressing a common barrier to patient acceptance. The study, published in 2022, has already garnered 13 citations, signaling its growing influence in the field of non-invasive therapeutic technologies. Prior to this, Lee designed an intelligent interactive service robot that leverages Kinect depth imaging for environmental perception and image processing, enabling companion and entertainment functions. While this earlier work has 3 citations, it laid the groundwork for her later integration of robotics with healthcare. Lee’s research uniquely bridges engineering and clinical application, demonstrating how robotic vision and automation can enhance traditional therapeutic practices. Her work is particularly notable for its potential to make acupuncture more accessible and less intimidating, a significant achievement at the nexus of cultural heritage and technological innovation.