Zhenming Yang

Tsinghua University

Papers

1

Total Citations

5

H-Index

1

About

Zhenming Yang is a leading researcher at the intersection of traditional Chinese medicine (TCM) and modern robotics, with a primary focus on intelligent physiotherapy systems and human-robot interaction. His most notable contribution is the development of a visual feedback system for a TCM massage robot, a groundbreaking innovation that addresses the critical shortage of skilled acupoint massage practitioners. By integrating computer vision with robotic manipulation, Yang’s work enables machines to accurately locate and stimulate acupoints, effectively bridging ancient therapeutic practices with cutting-edge automation. His 2019 paper on this system, with 5 citations, serves as a foundational reference for researchers seeking to digitize and scale TCM physiotherapy. Yang’s research not only preserves and modernizes a vital aspect of Chinese medical culture but also promises to make acupoint therapy more accessible and consistent. His achievements highlight a unique interdisciplinary approach, combining biomechanics, control systems, and medical knowledge, positioning him as a key innovator in the emerging field of TCM robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Visual Feedback System for Traditional Chinese Medical Massage Robot
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Tsinghua University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago