Italo Belli

Delft University of Technology

Papers

2

Total Citations

11

H-Index

2

About

Italo Belli is a pioneering researcher at the intersection of biomechanics and human-robot interaction, with a primary focus on advancing robotic-assisted rehabilitation for shoulder injuries. His work centers on developing intelligent systems that can monitor and manage rotator-cuff tendon strains during physical therapy, addressing a critical gap in safe, effective rehabilitation. Belli’s major contributions include the creation of a high-resolution biomechanical model integrated with collaborative industrial robots, enabling real-time estimation of tendon strains during both passive and active exercises. His 2022 paper on strain map segmentation and shared-authority control (7 citations) introduced a novel method for patient- and teleoperator-led robotic physiotherapy, while his 2023 follow-up (4 citations) extended this capability to active rehabilitation—a significant leap forward. By combining impedance control with real-time biomechanical feedback, Belli’s work enhances safety and personalization in therapy, potentially reducing injury risk and improving recovery outcomes. His research is notable for its translational impact, bridging engineering and clinical practice to empower patients and therapists alike.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Enabling Patient- and Teleoperator-led Robotic Physiotherapy via Strain Map Segmentation and Shared-authority
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Delft University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago