Marianna Semprini
Italian Institute of Technology, Center for Neuroscience and Cognitive Systems
Papers
19
Total Citations
465
H-Index
10
About
Marianna Semprini is a prominent researcher at the intersection of neurorehabilitation, robotics, and sensorimotor neuroscience, whose work has significantly advanced our understanding of how technology can restore and enhance human motor function. Her research spans robotic rehabilitation systems, proprioceptive training, brain-machine interfaces, and neuromechanical biomarkers, establishing her as a leading voice in translational rehabilitation science. Semprini's most influential contribution, "Perspectives and Challenges in Robotic Neurorehabilitation" (2019, 120 citations), provides a comprehensive framework for deploying robotic devices in clinical settings. Complementing this, her work on vibro-tactile feedback during proprioceptive training (2016, 72 citations) demonstrated measurable improvements in both somatosensory and motor performance, offering concrete tools for rehabilitating patients with sensory deficits. Her 2018 review on technological approaches to neurorehabilitation (70 citations) further cemented her expertise across multiple intervention modalities, from robotics to brain stimulation. Beyond rehabilitation technology, Semprini has made notable contributions to fundamental sensorimotor science, exploring somatosensory memory consolidation and bidirectional neural interfaces. Her more recent work on soft robotics for multiple sclerosis patients reflects a continued commitment to translating scientific advances into patient-centered solutions, making her research deeply relevant to both clinicians and engineers alike.
Research Focus
Key Achievements
Top Papers
- 1Perspectives and Challenges in Robotic Neurorehabilitation120 citations · 2019
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- 4Neuromechanical Biomarkers for Robotic Neurorehabilitation43 citations · 2021
- 5Consolidation of human somatosensory memory during motor learning33 citations · 2018
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- 7Shaping the Dynamics of a Bidirectional Neural Interface24 citations · 2012
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