About

Minshan Feng is a pioneering researcher at the intersection of traditional Chinese medicine and modern robotics, specializing in intelligent rehabilitation systems and bionic training technologies. His most significant contributions lie in developing robotic platforms that replicate the complex biomechanics of cervical spine rotation-traction manipulation—a traditional therapy for Cervical Spondylosis. Feng’s landmark 2018 study introduced an innovative robotic training system that mimics cervical spine behaviors during this manipulation, addressing a critical safety gap: the high incidence of medical malpractice by inexperienced practitioners. By integrating visual servo control and impedance control, his 2017 work created a bionic training robot that enables safe, repeatable practice for interns, bridging ancient therapeutic wisdom with cutting-edge engineering. More recently, Feng has advanced upper-limb rehabilitation robotics, applying port-Hamiltonian systems and fatigue dissipation port compensation to solve control instability caused by muscle fatigue in stroke patients. Though his citation counts are modest (4 and 2 for his key papers), his work represents a vital translational effort—bringing precision and safety to manual therapies through robotics, with potential to reduce malpractice and improve training outcomes in traditional medicine worldwide.

Research Focus

Key Achievements

2
H-Index
3
Papers
7
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
An innovative robotic training system imitating the cervical spine behaviors during rotation–traction manipulation
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Chinese Academy of Medical Sciences & Peking Union Medical College, Wangjing Hospital of China Academy of Chinese Medical Sciences

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago