Michele Tritto

About

Michele Tritto is a leading researcher at the intersection of rehabilitation robotics, cognitive neuroscience, and affective computing. His primary research focuses on leveraging robotic systems—from gait trainers to social robots—to assess and enhance neurorehabilitation outcomes, particularly in children with cerebral palsy (CP) and older adults with dementia. Tritto’s major contributions include demonstrating functional cortical plasticity in children with CP undergoing robotic-assisted gait training (RAGT), using functional near-infrared spectroscopy (fNIRS) to map brain reorganization (37 citations). He has also pioneered the integration of affective computing and emotional state detection into social robotics, validating the Pepper robot’s ability to administer cognitive tests like the MMSE while monitoring psychophysiological responses (18 citations). His work on infrared imaging for psychophysiological assessment during RAGT (12 citations) further underscores his innovative, multi-modal approach. By combining robotics with real-time brain and body sensing, Tritto is shaping the future of personalized, technology-driven rehabilitation.

Research Focus

Key Achievements

Top Papers

1. 1
   Identification of Functional Cortical Plasticity in Children with Cerebral Palsy Associated to Robotic-Assisted Gait Training: An fNIRS Study

   37 citations · 2022
2. 2
   Assessing Feasibility of Cognitive Impairment Testing Using Social Robotic Technology Augmented with Affective Computing and Emotional State Detection Systems

   18 citations · 2023
3. 3
   Psychophysiological Assessment of Children with Cerebral Palsy during Robotic-Assisted Gait Training through Infrared Imaging

   12 citations · 2022
4. 4
   An fNIRS Based Assessment of Cortical Plasticity in Children with Cerebral Palsy Undergoing Robotic-Assisted Gait Training

   2 citations · 2024

Key Collaborators

Contact & Links