Peiyang Sun
Papers
1
Total Citations
4
H-Index
1
About
Peiyang Sun is a researcher at the intersection of traditional Chinese medicine and modern robotics, with a primary focus on intelligent acupuncture therapy systems. Their most notable contribution is the development of an acupoint detection approach for robotic upper limb acupuncture therapy, a groundbreaking work published in 2022 that has already garnered 4 citations. This research addresses a critical challenge in automating acupuncture: achieving the "De-Qi" sensation—a therapeutic threshold where the patient feels a distinct ache or numbness—by precisely controlling microneedle insertion depth and angle. Sun's work bridges centuries-old medical practice with cutting-edge robotics, offering a pathway to more consistent, accessible, and quantifiable acupuncture treatments. By integrating computer vision and robotic manipulation, they have laid the foundation for autonomous systems that can replicate the nuanced skills of human acupuncturists. This achievement not only advances rehabilitation robotics but also opens new avenues for evidence-based traditional medicine. Sun's research is particularly impactful for students and engineers interested in medical robotics, human-robot interaction, and the digitization of ancient healing arts.
Research Focus
Key Achievements
Top Papers
- 1