Mirko Daniele Comparetti
Papers
9
Total Citations
112
H-Index
6
About
Mirko Daniele Comparetti is a robotics and biomedical engineering researcher whose work sits at the intersection of surgical robotics, human-robot interaction, and sensor fusion. He is best known for his contributions to the ROBOCAST project, a pioneering multi-robot system designed to enhance precision in keyhole neurosurgery through optical tracking and external sensor monitoring. His research on this platform, which has garnered over 45 citations across multiple publications, addressed critical challenges in accurate surgical probe insertion and intraoperative coordinate calibration, including rigorous convergence analysis of iterative targeting methods. Beyond surgical precision, Comparetti has made notable advances in human-robot cooperation within the operating room, developing innovative people-detection frameworks using Microsoft Kinect and time-of-flight camera technologies to ensure intuitive and safe surgeon-robot interaction. His event-based device-behavior switching work further demonstrates his commitment to adaptive, context-aware robotic systems. He has also contributed to the ACTIVE project, extending his expertise to the complex domain of awake neurosurgery. Across his career, Comparetti has consistently tackled the multifaceted challenges of bringing intelligent robotic assistance into high-stakes clinical environments, making meaningful contributions to the safety, accuracy, and practicality of next-generation surgical systems.
Research Focus
Key Achievements
Top Papers
- 1Optically tracked multi-robot system for keyhole neurosurgery26 citations · 2011
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- 5Event-based device-behavior switching in surgical human-robot interaction11 citations · 2014
- 6Multi-robotic approach for keyhole neurosurgery: the ROBOCAST project7 citations · 2011
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- 8Sensors management in robotic neurosurgery: The ROBOCAST project4 citations · 2011
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