Xiaojing Feng
Papers
5
Total Citations
25
H-Index
3
About
Xiaojing Feng is a pioneering researcher at the intersection of robotics and ophthalmic surgery, with a primary focus on autonomous intraoperative systems for keratoplasty (corneal transplantation). Her major contributions lie in developing intelligent frameworks that enable surgical robots to perform delicate corneal suturing tasks with surgeon-like precision. Feng’s work addresses two critical challenges in microsurgery: surgeon fatigue during lengthy procedures and physiological hand tremor (around 180 μm), which can compromise outcomes. She introduced the ST-ITEF framework (12 citations), a spatio-temporal task estimation system that recognizes surgical phases and predicts instrument paths using multi-object tracking. Her flagship AIRS system (Autonomous Intraoperative Robotic Suturing, 5 citations) quantifies surgeon-like operation paths to automate the entire suturing workflow. Through kinematic analysis and dynamic modeling of ophthalmic surgical robots, Feng has demonstrated that automated systems can replicate the 16–24 submillimeter sutures required in corneal transplantation. Her work represents a significant step toward reducing surgeon fatigue, improving autonomy levels, and enhancing surgical precision in robot-assisted ophthalmology.
Research Focus
Key Achievements
Top Papers
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- 5Improved Design and Dynamic Analysis of Ophthalmic Surgical Robot2 citations · 2021