Papers
8
Total Citations
43
H-Index
4
About
Yu Zheng is a researcher specializing in robotic-assisted ophthalmic surgery, with a focus on developing precision technologies for some of the most delicate procedures in ophthalmology. His work sits at the intersection of surgical robotics, computer vision, and biomechanical measurement, addressing the fundamental challenge of performing microscale interventions in the human eye with greater accuracy and safety than unassisted human hands can achieve. Zheng's most significant contributions include pioneering quantitative analyses of surgeon hand motion and instrument forces during procedures such as continuous curvilinear capsulorhexis (CCC) and inner limiting membrane peeling — critical baseline data that informs the design of robotic surgical systems. His team developed fiber Bragg grating-equipped forceps to capture real-world surgical dynamics, and proposed binocular vision-based 3D reconstruction methods for precise retinal vessel localization. His vision-guided hybrid robot system for capsulotomy, his most cited work with 14 citations, represents a notable practical advance toward clinical robotic deployment. Additional contributions in Kalman filter-based forceps tracking, active disturbance rejection control, and compliant mechanism design further demonstrate the breadth of his engineering expertise. With a growing citation record across publications from 2020 to 2024, Zheng is establishing himself as an emerging voice in the field of intelligent ophthalmic robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8