Su Lu

Papers

Total Citations

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About

Su Lu is a pioneering researcher in autonomous robotic surgery, with a primary focus on developing intelligent systems for complex surgical manipulation. Her key contributions center on needle manipulation and autonomous suturing using the da Vinci® surgical robot. In her highly cited 2021 work on visually guided needle driving, Lu introduced a comprehensive autonomous suturing framework that integrates surgical needle tracking, path planning, and optimal grasp selection, achieving a fully automated five-step procedure. Her 2020 study on dual-arm needle manipulation further advanced the field by presenting a hybrid-object-based method for planning and executing coordinated needle grasp and regrasp maneuvers. These contributions address critical challenges in surgical autonomy, demonstrating how computer vision and robotic control can replicate the dexterity of human surgeons. Lu’s research has garnered significant attention, with her most cited papers accumulating over a dozen citations in just a few years, reflecting the growing importance of her work in the surgical robotics community. Her achievements represent a major step toward fully autonomous surgical systems, with potential to enhance precision and reduce human error in operating rooms.