Giulia Gamberini
Papers
2
Total Citations
9
H-Index
1
About
Giulia Gamberini is a researcher at the intersection of surgical robotics and soft haptic technologies, with a focus on advancing training and sensing for minimally invasive procedures. Her most cited work introduces a high-fidelity vascular simulator designed for robot-assisted manipulation, addressing the critical need for effective training as robotic surgeries increase. This simulator helps surgeons adapt to novel control modalities and the loss of haptic feedback, a key challenge in the field. With 8 citations since 2024, this contribution underscores her impact on surgical education and simulation fidelity. More recently, Gamberini has explored soft conductive textile sensors, developing a detailed characterization methodology for resistive stretching sensors used in healthcare robotics. Her work tackles the limitation of commercial sensors lacking the softness required for integration into soft structures, offering behavioral analysis that advances wearable and robotic applications. By bridging surgical training and soft sensor design, Gamberini is shaping safer, more intuitive robotic systems for healthcare.
Research Focus
Key Achievements
Top Papers
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- 2