Francesco Scotto di Luzio

Università Campus Bio-Medico

Papers

23

Total Citations

321

H-Index

10

About

Francesco Scotto di Luzio is a robotics and biomedical engineering researcher whose work spans rehabilitation robotics, assistive technologies, and healthcare automation. His research is distinguished by a human-centered philosophy, consistently placing patients and clinicians at the heart of robotic system design. Among his most influential contributions is his development of adaptive, patient-tailored control strategies for rehabilitation robotics. His bio-cooperative framework for end-effector rehabilitation robots (38 citations) and psychophysiological-aware control for upper-limb orthopedic rehabilitation (33 citations) represent significant advances in personalizing motor recovery therapies. His investigation into muscular synergies in stroke patients further deepens understanding of neuroplasticity-driven recovery. Scotto di Luzio has also made notable strides in surgical robotics, proposing a surgeon-robot shared control system for ergonomic pedicle screw fixation (28 citations), addressing both procedural accuracy and clinician wellbeing. His response to real-world healthcare crises is evident in his widely cited robotic COVID-19 logistics and disinfection solution (45 citations). With work extending into assistive interfaces, autonomous hospital navigation, and multimodal feedback systems, his cumulative citation impact reflects a broad and growing influence on how robots are integrated into complex, human-centered healthcare environments.

Research Focus

Key Achievements

10
H-Index
23
Papers
321
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A Robotic Health-Care Assistant for COVID-19 Emergency: A Proposed Solution for Logistics and Disinfection in a Hospital Environment
45 citations · 2021
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 69
🏛 Institutions: Università Campus Bio-Medico

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago