Yuyun Zhao
Papers
2
Total Citations
15
H-Index
2
About
Yuyun Zhao is a leading researcher in the field of robot-assisted surgery, with a primary focus on medical image-guided interventions and surgical automation. Their work centers on solving critical calibration challenges that enable precise, safe, and effective robotic assistance in high-stakes surgical procedures. Zhao’s major contributions include the development of a novel point set registration-based hand–eye calibration method for robot-assisted pedicle screw insertion, a technique that dramatically improves surgical accuracy and safety over manual implantation. This work, published in 2022, has already garnered 8 citations, underscoring its immediate impact on the field. Additionally, Zhao has advanced ultrasound probe and hand-eye calibration for robot-assisted needle biopsy, establishing essential links between intra-operative ultrasound images and robotic needle insertion. This research, also from 2022 with 7 citations, addresses a fundamental bottleneck in minimally invasive diagnostics. By solving these intricate calibration problems, Zhao is directly enabling more reliable and precise robotic systems for orthopedic and interventional radiology applications, positioning them as a rising authority in surgical robotics and medical device innovation.
Research Focus
Key Achievements
Top Papers
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- 2