Angelo Vertuan

University of Brescia

Papers

2

Total Citations

38

H-Index

2

About

Angelo Vertuan’s research bridges the critical gap between human physiology and robotic assistance, with a primary focus on rehabilitation engineering and intelligent automation. His most cited work, a 2016 study on a robotic rehabilitation system driven by EMG for hand mirroring (26 citations), introduces a novel approach to assistive therapy. By integrating electromyographic signals with robotic actuators, Vertuan’s system enables high-frequency, repetitive, and interactive hand rehabilitation—offering patients a more responsive and engaging recovery process. This contribution is particularly significant for stroke and injury rehabilitation, where consistent, adaptive therapy is essential. Earlier, Vertuan demonstrated his versatility in automation through a 2011 study on a multi-camera 2D-vision system for a drink serving robotic cell (12 citations), showcasing his ability to enhance robotic perception and performance in real-world tasks. His work exemplifies the convergence of biomedical engineering and robotics, addressing both therapeutic and industrial challenges. With a career marked by practical, user-centered designs, Vertuan continues to influence the development of intelligent robotic systems that improve human quality of life.

Research Focus

Key Achievements

2
H-Index
2
Papers
38
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Preliminary study of a robotic rehabilitation system driven by EMG for hand mirroring
26 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Brescia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago