Papers

1

Total Citations

3

H-Index

1

About

Davide Simeone is a leading researcher at the intersection of artificial intelligence and rehabilitation robotics, with a primary focus on developing intelligent, adaptive systems for motor recovery. His most notable contribution is the foundational work "AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation," which introduces a novel framework that leverages machine learning to personalize therapy in real time. This approach moves beyond one-size-fits-all robotic rehabilitation by dynamically adjusting assistance and resistance based on a patient’s performance and fatigue, promising more effective and engaging recovery protocols. Though early in its citation history, this 2025 paper has already garnered 3 citations, signaling its potential to shape future assistive technologies. Simeone’s research is distinguished by its emphasis on human-robot interaction and closed-loop control, aiming to bridge the gap between clinical rehabilitation and autonomous, home-based therapy. His work holds significant promise for improving outcomes in stroke and spinal cord injury patients, positioning him as an emerging voice in the field of AI-driven healthcare robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Institute of Electronics, Computer and Telecommunication Engineering

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago