Andrea Mariani
Scuola Superiore Sant'Anna, Politecnico di Milano, Piaggio (Italy)
Papers
24
Total Citations
789
H-Index
13
About
Andrea Mariani is a prominent researcher at the intersection of surgical robotics, human-robot interaction, and medical training technologies. His work spans several interconnected domains, including robot-assisted minimally invasive surgery (RAMIS), adaptive surgical training curricula, autonomous surgical systems, and novel sensing technologies for surgical effectors. Mariani has made substantial contributions to advancing how surgeons learn and interact with robotic systems. His pioneering work on teaching by demonstration (217 citations) explores transferring open-surgery manipulation skills to intelligent robotic platforms, while his research on robotic assistance-as-needed and adaptive curricula has reshaped how simulation-based surgical training is designed and evaluated. His co-authorship on the decade-long review of the da Vinci Research Kit (150 citations) reflects his deep engagement with the broader surgical robotics community and its evolving clinical landscape. Beyond training, Mariani has contributed to autonomous camera navigation, magnetically actuated colonoscopy capsules, and mechanochromic soft-material sensors that provide electronics-free tactile feedback during robotic procedures. His multi-sensory feedback studies further demonstrate his commitment to making robotic surgery both safer and more learnable. With a growing citation portfolio exceeding 700 cumulative citations, Mariani represents a versatile and impactful voice in surgical robotics research, bridging fundamental engineering innovation with meaningful clinical application.
Research Focus
Key Achievements
Top Papers
- 1Toward Teaching by Demonstration for Robot-Assisted Minimally Invasive Surgery217 citations · 2021
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- 7SCAN: System for Camera Autonomous Navigation in Robotic-Assisted Surgery35 citations · 2020
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