Eduardo Palermo
Papers
18
Total Citations
413
H-Index
9
About
Eduardo Palermo is a multidisciplinary researcher whose work spans rehabilitation robotics, tactile sensing, biomechanics, and human-robot interaction. His research addresses some of the most pressing challenges in assistive and collaborative robotics, with a particular focus on improving quality of life for individuals with neurological conditions such as stroke, cerebral palsy, and Parkinson's disease. Palermo's most celebrated contribution — garnering 182 citations — demonstrates how fibre Bragg gratings combined with deep neural networks can functionally mimic biological Ruffini receptors, enabling large-area tactile-sensitive skin for collaborative robots. This bio-inspired breakthrough represents a significant leap forward in safe human-robot interaction. His work on Hidden Markov Models for gait phase detection in children with cerebral palsy (74 citations) streamlined subject-independent training protocols, making rehabilitation systems more clinically practical. Further research explored robot-mediated stroke rehabilitation, balance impairment assessment in Parkinson's disease, and aging-related postural responses through robotic platforms. Palermo has also contributed to exoskeleton design, swarm robotics control, and citizen science-based cognitive training. Across these diverse domains, his work consistently bridges engineering innovation with clinical application, making him a valuable contributor to both the robotics and neurorehabilitation communities.
Research Focus
Key Achievements
Top Papers
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- 6Spatial memory training in a citizen science context12 citations · 2017
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- 10RANK - Robotic Ankle: Design and testing on irregular terrains8 citations · 2022