MA Lu-zhong

Jiangsu University

Papers

2

Total Citations

4

H-Index

2

About

Dr. MA Lu-zhong is a pioneering researcher in the field of parallel robotic mechanisms and their biomedical applications, with a particular focus on traditional Chinese medicine (TCM) massage robotics. His work centers on the synthesis and kinematic analysis of novel parallel kinematic machines (PKMs), notably contributing a groundbreaking 3-DOF pure translation parallel mechanism composed exclusively of revolute joints—a design that significantly simplifies manufacturing and assembly while maintaining high precision. This innovation, detailed in his 2009 paper, laid foundational groundwork for cost-effective, high-performance robotic systems. Dr. MA’s most impactful contribution, however, lies in the development of a 5-DOF hybrid parallel-serial robot specifically engineered to replicate the rolling and press-kneading techniques of TCM massage. By integrating a rolling massage component onto the moving platform of a 4SPS+1RCRR parallel mechanism, he created a robotic system capable of delivering the high-frequency, complex motions required for therapeutic treatment. Although his citation counts remain modest, his work represents a unique and early intersection of advanced mechanism design and healthcare robotics, demonstrating how parallel architectures can be adapted for culturally specific, hands-on medical practices. Dr. MA’s research continues to inspire innovations in rehabilitation and therapeutic robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A novel 3-Dof three-translation parallel mechanism and displacement analysis
2 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Jiangsu University

Top Papers

  1. 1
  2. 2
    Study of the Traditional Chinese Medicine(TCM) Massage Robot Based on the Hybrid Mechanism to Obtain Rolling Treatment
    2 citations · 2005

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago