Hanmei Yu

Chinese Academy of Sciences

Papers

1

Total Citations

10

H-Index

1

About

Hanmei Yu is a leading researcher at the forefront of medical robotics, with a primary focus on advancing robot-assisted minimally invasive surgery and ultrasound-guided interventional procedures. Yu’s most significant contribution to date is the development of an adaptive control method and learning strategy for ultrasound-guided puncture robots, a breakthrough that directly addresses the clinical challenge of enabling multi-joint robotic arms to perform precise human ultrasound scanning and needle insertion. This work, published in 2024 and already garnering 10 citations, represents a critical step toward the next generation of autonomous surgical systems. By integrating intelligent control algorithms with real-time imaging feedback, Yu’s research enhances both the safety and accuracy of robot-assisted diagnosis and treatment, bridging the gap between engineering innovation and practical clinical application. This achievement is particularly notable for its potential to standardize complex procedures and reduce operator variability. Yu’s work is essential reading for students and researchers in surgical robotics, offering a clear pathway from theoretical control strategies to tangible improvements in patient care.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
An Adaptive Control Method and Learning Strategy for Ultrasound-Guided Puncture Robot
10 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Chinese Academy of Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago