معرفی
Matteo Saveriano is an Assistant Professor at the University of Trento, focusing on integrating cognitive robotics into industrial and social environments through AI solutions inspired by human behavior. His research bridges robotics, AI, and human-robot interaction to enhance productivity in smart factories and assistive technologies.
Research Focus
His work centers on developing robotic systems capable of intuitive learning and safe interaction. Key areas include:
- Robotic skill acquisition via imitation learning
- Safe human-robot collaboration frameworks
- Variable impedance control systems
- Cognitive architectures for industrial automation
Publication Trends
Recent publications demonstrate interdisciplinary focus spanning clinical applications (dysphagia diagnostics, Parkinson's therapies), surgical robotics (vocal fold reconstruction), and fundamental biomechanics (tissue elasticity modeling). This reflects a translational research approach connecting engineering innovation with medical practice.
Projects & Leadership
He coordinates major EU initiatives including:
- INVERSE (Horizon Europe): Interactive robots learning tasks through reasoning
- MAGICIAN: Human-robot collaboration for defect detection
- ARIEL: Assistive robotics for elderly care
