Tommaso Banfi
Papers
3
Total Citations
53
H-Index
3
About
Tommaso Banfi is a leading researcher at the intersection of human-robot collaboration and medical robotics, with a particular focus on how robots can seamlessly integrate into human-centered tasks. His work addresses the critical challenge of timing in human-robot collaborative manipulation, where he demonstrated that the precise timing of a robot’s signals is essential for maintaining fluid, uninterrupted teamwork—a contribution that has garnered 34 citations and reshaped how researchers design intuitive robotic behaviors. In the medical domain, Banfi developed a comprehensive framework for evaluating Human Machine Interfaces (HMIs) in robot-assisted colonoscopy, directly impacting clinician performance by linking interface design to physical and mental stress (11 citations). He has also contributed to the evolving concept of “P5 medicine,” extending the traditional P4 model to emphasize a more human-centric approach to AI tools in future hospitals, particularly in melanoma cancer support. With a total of 53 citations across his most influential works, Banfi’s research is distinguished by its interdisciplinary rigor, bridging robotics, cognitive science, and clinical practice to create technologies that are not only efficient but genuinely responsive to human needs.
Research Focus
Key Achievements
Top Papers
- 1The relevance of signal timing in human-robot collaborative manipulation34 citations · 2021
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