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About

Alice Leporini is a researcher whose work sits at the intersection of surgical robotics, artificial intelligence, and minimally invasive surgery. Her contributions have been instrumental in advancing autonomous and teleoperated robotic systems designed to assist surgeons during complex endoscopic procedures. Leporini has played a central role in the SARAS (Smart Autonomous Robotic Assistant Surgeon) European consortium, helping to develop foundational datasets and multi-robot platforms that enable AI-driven surgical assistance. Her most cited work, the SARAS Endoscopic Surgeon Action Detection (ESAD) dataset (2021, 29 citations), addresses the significant challenge of recognizing surgeon actions in real-time within the visually complex environment of a surgical cavity — a critical step toward safer, more responsive robotic assistants. Complementing this, her research on teleoperated multi-robot platforms (2019, 23 citations; 2020, 19 citations) has provided both the technical infrastructure and validated methodologies needed to collect high-quality training data for surgical AI systems. Through her work on surgical process modeling and multi-domain action detection challenges, Leporini has helped establish rigorous benchmarks for the field, making her research an essential reference point for developers of next-generation cognitive surgical robotics.