Lorenza Gasperotti
Papers
4
Total Citations
68
H-Index
3
About
Lorenza Gasperotti is a leading researcher at the intersection of cognitive robotics, surgical automation, and patient safety. Her most influential work, “Development of a Cognitive Robotic System for Simple Surgical Tasks” (2015, 53 citations), pioneered the integration of autonomous decision-making into robotic surgery, demonstrating how systems can safely perform basic surgical actions—a foundational step toward semi-autonomous operating rooms. She also contributed to the SAFROS project, where she helped define a methodological framework for patient safety measures in robotic surgery, establishing protocols that balance automation with clinical reliability. In neurorehabilitation and neural engineering, Gasperotti has addressed critical challenges in restoring motor function through robotic interfaces. Her research is distinguished by its focus on translating high-level cognitive models into practical, safe surgical tools, bridging the gap between artificial intelligence and real-world clinical application. With a career centered on making robotic systems not just precise, but perceptive and safe, Gasperotti’s work continues to shape the future of autonomous medical robotics.
Research Focus
Key Achievements
Top Papers
- 1Development of a Cognitive Robotic System for Simple Surgical Tasks53 citations · 2015
- 2Challenges in Neurorehabilitation and Neural Engineering8 citations · 2015
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- 4