Nicola Vanello

University of Pisa

Papers

3

Total Citations

22

H-Index

2

About

Nicola Vanello is a pioneering researcher at the intersection of biomedical engineering, neuroscience, and human-robot interaction. His work focuses on developing innovative sensing technologies and understanding the neural mechanisms underlying human-machine communication. Vanello’s major contributions include designing an obstacle detection system using low-quality factor ultrasonic transducers for medical devices, a breakthrough that enhances navigation for assistive technologies and robotics. He also investigated the neural correlates of human-robot handshaking, revealing how the brain processes complex motor and cognitive tasks during physical interaction with robots—a foundational study for advancing human-robot collaboration. Additionally, Vanello developed an fMRI-compatible sensing glove for monitoring hand gestures, enabling real-time brain imaging of motor tasks. His most-cited works, each garnering around 10 citations, have influenced fields ranging from rehabilitation robotics to neural prosthetics. By bridging engineering and cognitive neuroscience, Vanello’s research not only improves medical aids and robotic systems but also deepens our understanding of how humans perceive and interact with artificial agents, making him a key figure in the evolving landscape of human-centered robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
22
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Obstacle detection system based on low quality factor ultrasonic transducers for medical devices
10 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of Pisa

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago