Papers

21

Total Citations

336

H-Index

11

About

Giacinto Barresi is a multidisciplinary researcher whose work spans surgical robotics, rehabilitation engineering, and human-robot interaction, with a particular focus on developing intelligent systems that enhance both clinical precision and patient outcomes. His most influential contribution — a computerized surgeon-machine interface for robot-assisted laser phonomicrosurgery (2013, 67 citations) — laid foundational groundwork for the μRALP project, an ambitious initiative advancing micro-technologies for endoscopic laser surgery of delicate structures like the larynx. Barresi has also made significant strides in rehabilitation robotics, designing gravity-compensated upper-limb exoskeletons for shoulder recovery (2022, 49 citations) and investigating robotic solutions for multiple sclerosis patients. His research uniquely bridges neuroscience and robotics, incorporating brain-computer interfaces and EEG-based feedback to create more intuitive human-robot collaborative systems. Work on haptic feedback in contactless laser surgery demonstrates his commitment to surgeon safety and enhanced control. More recently, Barresi has explored cutting-edge concepts such as "phygital twins" for neuroergonomics and embodiment in augmented reality environments, reflecting a consistently forward-looking research trajectory that positions him at the intersection of medical technology, neuroscience, and intelligent robotics.

Research Focus

Key Achievements

11
H-Index
21
Papers
336
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A novel computerized surgeon–machine interface for robot‐assisted laser phonomicrosurgery
67 citations · 2013
📈 Most Prolific Year: 2017 (4 Papers)
🤝 Key Collaborators: 85
🏛 Institutions: Italian Institute of Technology, Bristol Robotics Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago