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About

L. Wagner is an emerging researcher at the intersection of surgical robotics, computer vision, and operating room automation, with a focused body of work dedicated to the development of robotic scrub nurse (RSN) systems. Wagner's research addresses one of healthcare's most pressing challenges — the global shortage of qualified surgical staff — by engineering intelligent robotic solutions capable of assisting surgeons during both open and laparoscopic procedures. Among Wagner's most significant contributions is pioneering work on anticipatory instrument recognition, leveraging real-time laparoscopic video analysis and deep learning to enable robotic systems to predict and prepare surgical instruments before they are requested — a capability that mirrors the intuitive expertise of experienced human scrub nurses. Complementing this, Wagner has advanced the mechanical design of versatile end effectors tailored for laparoscopic contexts, developed automated instrument cleaning stations, and innovated safer, more efficient instrument handover techniques. Wagner has also addressed practical integration challenges, including sterile enclosure of 3D cameras within surgical environments. With a growing citation record totaling over 30 citations across recent publications, Wagner's work is gaining meaningful traction in the surgical robotics community, establishing a promising research trajectory with clear real-world clinical impact.