Maria Chiara Palumbo
Papers
3
Total Citations
44
H-Index
3
About
Maria Chiara Palumbo is a leading researcher at the intersection of robotics, augmented reality (AR), and minimally invasive surgery. Her work focuses on developing intelligent systems that enhance surgical precision and safety, particularly in complex procedures where traditional methods fall short. She has made significant contributions to the field of percutaneous nephrolithotomy (PCNL) by designing an AR and human-robot collaboration framework that guides surgeons in needle alignment and puncture, reducing reliance on manual ultrasound or fluoroscopy. In structural intervention cardiology, she has advanced robotic actuation and control of catheters, addressing critical challenges like embolization and lack of autonomous surgical tools. Palumbo has also pioneered an AR-assisted robot learning framework for minimally invasive surgery, using Gaussian Mixture Models to learn from human demonstrations and automate surgical tasks. Her most-cited works—with 16 and 14 citations each—demonstrate the growing impact of her research on surgical robotics. By combining AR visualization with robotic learning, Palumbo is shaping the future of safer, more autonomous surgical interventions.
Research Focus
Key Achievements
Top Papers
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