About

Angelo Basteris is a leading researcher in neurorehabilitation robotics, with a primary focus on developing and evaluating robotic systems for upper limb recovery after stroke and other neurological conditions. His work has fundamentally advanced how robotic therapy is designed, assessed, and deployed, particularly for hand and wrist function. His most influential contribution is a landmark systematic review (403 citations) that established a framework for classifying training modalities in robot-mediated upper limb rehabilitation, providing a critical taxonomy for the field. Basteris was a key figure in the SCRIPT project, where he contributed to the design, development, and clinical deployment of a passive hand/wrist exoskeleton for home-based rehabilitation (105 citations), demonstrating the feasibility of moving therapy outside the clinic. He has also made significant contributions to adaptive control algorithms, such as the Bayesian "assistance-as-needed" method, and to integrating proprioceptive assessment with training for stroke patients. His research extends to evaluating novel therapies for multiple sclerosis and exploring the neural correlates of motor learning, consistently emphasizing rigorous, evidence-based approaches to improve patient outcomes.

Research Focus

Key Achievements

10
H-Index
20
Papers
727
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review
403 citations · 2014
📈 Most Prolific Year: 2014 (7 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: University of Hertfordshire, University of Genoa, Italian Institute of Technology, Griffith University, Nanyang Technological University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago