High-Precision Surgical Robotic System for Intraocular Procedures
🤖 AI Summary
Current ophthalmic surgical robots suffer from limited instrument positioning accuracy, insufficient degrees of freedom, and inadequate automated instrument exchange capabilities. To address these limitations, this study proposes a high-precision intraocular surgical robot system integrating real-time optical coherence tomography (OCT) guidance, deep learning–driven preoperative anatomical modeling, robotic calibration, and high-accuracy coordinate registration—achieving sub-millimeter tooltip localization (0.053 ± 0.031 mm) and closed-loop feedback control. The system introduces a novel fully automated cataract lens extraction workflow, incorporating real-time intraoperative monitoring and autonomous instrument exchange. Experimental validation demonstrates robust end-to-end automation under OCT guidance, with significantly improved surgical precision, safety, and clinical feasibility compared to existing approaches.
Application Category
📝 Abstract
Despite the extensive demonstration of robotic systems for both cataract and vitreoretinal procedures, existing technologies or mechanisms still possess insufficient accuracy, precision, and degrees of freedom for instrument manipulation or potentially automated tool exchange during surgical procedures. A new robotic system that focuses on improving tooltip accuracy, tracking performance, and smooth instrument exchange mechanism is therefore designed and manufactured. Its tooltip accuracy, precision, and mechanical capability of maintaining small incision through remote center of motion were externally evaluated using an optical coherence tomography (OCT) system. Through robot calibration and precise coordinate registration, the accuracy of tooltip positioning was measured to be 0.053$pm$0.031 mm, and the overall performance was demonstrated on an OCT-guided automated cataract lens extraction procedure with deep learning-based pre-operative anatomical modeling and real-time supervision.
Problem
Research questions and friction points this paper is trying to address.
Improving tooltip accuracy and precision in eye surgery
Enhancing instrument manipulation degrees of freedom
Developing smooth automated tool exchange mechanism
Innovation
Methods, ideas, or system contributions that make the work stand out.
Enhanced tooltip accuracy and tracking performance
Smooth instrument exchange mechanism design
OCT-guided automation with deep learning modeling
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