Danilo Menicucci
Papers
4
Total Citations
56
H-Index
4
About
Danilo Menicucci is a leading researcher at the intersection of neuroscience, rehabilitation engineering, and human-machine interaction. His work primarily explores how the brain adapts to and controls external technologies, with key contributions in EEG-based monitoring for robotic rehabilitation, the neurocognitive mechanisms of teleoperation, and the role of sensory substitution in surgical performance. In his foundational 2012 study (25 citations), Menicucci developed methods to remove EEG artifacts during Lokomat robotic gait training, enabling real-time brain monitoring for post-stroke rehabilitation. More recently, he has systematically investigated how the sense of agency and embodiment—the feeling that a tool becomes part of one’s own body—enhance skill learning in virtual and robotic environments. His 2024 systematic review (13 citations) synthesizes evidence on agency in virtual-mediated learning, while his 2023 review (10 citations) demonstrates how sensory substitution can compensate for missing haptic feedback in robotic surgery, improving surgeon proficiency. Notably, his 2024 experimental study (8 citations) used temporoparietal junction stimulation to directly modulate embodiment and presence during teleoperation, revealing causal neural mechanisms. Menicucci’s work bridges fundamental neuroscience and applied technology, offering insights that could transform rehabilitation protocols and surgical training.
Research Focus
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Top Papers
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