Papers
53
Total Citations
3,666
H-Index
24
About
Claudio Castellini is a leading researcher in rehabilitation robotics and human-machine interfaces, whose work sits at the intersection of biomedical engineering, machine learning, and neuroscience. He is best known for pioneering advances in myoelectric control — the use of electromyography (EMG) signals to enable intuitive, non-invasive command of robotic prosthetic hands for amputees. His 2014 dataset paper on EMG for naturally-controlled prostheses has become a landmark resource in the field, amassing over 930 citations and providing the community with critical open-access data. His earlier work on surface EMG in advanced hand prosthetics (422 citations) helped establish the theoretical and practical foundations for this research direction. Castellini has also made significant contributions to understanding hand synergies — the coordinated patterns underlying both biological and artificial hand control — bridging robotics and neuroscience in ways that have shaped rehabilitation device design. His investigations into non-linear incremental learning and wearable sensing further address the persistent challenge of building stable, real-world prosthetic controllers. Beyond prosthetics, he has contributed to assistive and rehabilitation robotics more broadly, including EMG-based teleoperation and optimal trajectory planning. With multiple papers exceeding 100 citations, Castellini's body of work has had a profound and lasting impact on restoring human motor function through intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Surface EMG in advanced hand prosthetics422 citations · 2008
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- 6A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics132 citations · 2017
- 7Trajectory planning for optimal robot catching in real-time117 citations · 2011
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- 10EMG-based teleoperation and manipulation with the DLR LWR-III104 citations · 2011