Ilaria Carpinella
Papers
15
Total Citations
560
H-Index
9
About
Ilaria Carpinella’s research sits at the intersection of human movement science and neurorehabilitation, with a focus on restoring upper limb function after neurological injury. Her work is distinguished by its rigorous, multi-modal approach—combining kinematic, kinetic, and electromyographic data to understand how stroke and multiple sclerosis (MS) disrupt motor control. She has been a pioneer in evaluating robot-assisted rehabilitation, demonstrating not only its feasibility but also its capacity to reshape motor strategies, as shown in her pilot randomized controlled trials. Her most cited work (181 citations) provides an invaluable open-access dataset of human locomotion across a wide age range, a foundational resource for biomechanics and rehabilitation engineering. Carpinella has also advanced the understanding of muscle synergies and co-contraction patterns, offering objective metrics to track recovery. Her studies on tool-use and body representation further reveal how robotic training can influence the brain’s internal models of the body. With over 500 total citations, Carpinella’s contributions are shaping evidence-based rehabilitation protocols, making her a key figure in the translation of robotics from the lab to the clinic.
Research Focus
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