Papers
8
Total Citations
152
H-Index
6
About
Yu-Hsiu Lee is a robotics and medical engineering researcher whose work sits at the intersection of surgical automation, machine learning, and precision control systems. He is best known for his pioneering contributions to the Intraocular Robotic Interventional Surgical System (IRISS), a landmark platform that integrates optical coherence tomography (OCT) guidance with robotic automation to perform cataract surgery with greater precision and safety than traditional manual approaches. His most-cited work (61 citations) demonstrated semi-automated OCT-guided cataract removal, and subsequent studies extended this system to porcine models and deep learning-based semantic segmentation for lens fragment extraction—collectively representing a significant step toward fully autonomous ophthalmic surgery. Beyond ophthalmology, Lee has contributed to laparoscopic surgical training through the LapaRobot telementoring system and advanced industrial robot trajectory accuracy through nested-loop iterative learning control frameworks. His more recent work on posterior capsule polishing and compact anthropomorphic robots for ophthalmic surgery underscores a sustained commitment to translating precision robotics into clinical practice. With over 150 cumulative citations, Lee's research is shaping the future of robot-assisted microsurgery.
Research Focus
Key Achievements
Top Papers
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- 4A robotic system for telementoring and training in laparoscopic surgery18 citations · 2019
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- 6Accurate Robotic Posterior Capsule Polishing With Tissue Stabilization7 citations · 2023
- 7A Nested-Loop Iterative Learning Control for Robot Manipulators3 citations · 2019
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