Kun-Chan Lan

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Total Citations

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About

Kun-Chan Lan is a pioneering researcher at the intersection of robotics and traditional Chinese medicine, specializing in the automation of acupuncture and acupressure therapies. His major contributions lie in developing robot-controlled acupuncture (RCA) systems that modernize ancient medical practices by integrating precise acupoint localization with robotic manipulation. Lan’s work addresses key barriers to acupuncture adoption, such as needle-phobia and infection risk, by introducing painless, infection-free alternatives like laser acupuncture and automated acupressure. His most cited paper, "Robot-Controlled Acupuncture—An Innovative Step towards Modernization of the Ancient Traditional Medical Treatment Method" (2019, 46 citations), outlines a three-component RCA system that bridges engineering and holistic healthcare. Subsequent studies, including "An Initial Study on Automated Acupoint Positioning for Laser Acupuncture" (2022, 13 citations), further refine automated point detection on Android platforms. Lan’s research has achieved over 64 total citations, demonstrating growing interest in his fusion of robotics and TCM. His notable achievements include driving a robot arm for symptom relief via acupressure, showcasing practical applications of his work. By automating precise, non-invasive treatments, Lan is transforming accessibility and standardization in complementary medicine, making him a key figure in medical robotics innovation.