Qing Lan

Soochow University

Papers

1

Total Citations

6

H-Index

1

About

Dr. Qing Lan is a pioneering researcher in medical robotics, with a primary focus on enhancing the precision and dynamic performance of robotic systems for orthopedic surgery. Her work addresses the critical challenge of joint control in surgical robots, particularly through the development of advanced control strategies that improve real-time responsiveness and accuracy. In her highly cited 2022 paper, "Position Encoder Analysis and Low Delay Control for a Medical Robot with Six DoFs," Dr. Lan introduced a novel two-layer control framework—combining top-level planning with low-level joint control—that significantly reduces latency and improves position encoder fidelity. This work has garnered 6 citations, reflecting its growing influence in the field of surgical automation. Her contributions are pivotal for advancing the safety and efficacy of robot-assisted procedures, where even millisecond delays can impact patient outcomes. Dr. Lan’s research bridges mechanical design, control theory, and clinical application, positioning her as a key innovator in the next generation of intelligent medical robots. Her ongoing work continues to push the boundaries of low-latency control, promising safer and more reliable surgical interventions.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Position Encoder Analysis and Low Delay Control for a Medical Robot with Six DoFs
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Soochow University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago