M. Lombardo
Papers
1
Total Citations
18
H-Index
1
About
M. Lombardo is a pioneering researcher at the intersection of social robotics, affective computing, and geriatric cognitive health. Their work focuses on leveraging humanoid robots—particularly the Pepper robot—to transform dementia diagnosis and elderly care. Lombardo’s most cited study (2023, 18 citations) demonstrated the feasibility of administering the Mini-Mental State Examination (MMSE) through a socially assistive robot augmented with emotional state detection systems. This breakthrough integrates robotic interaction with real-time psychophysical monitoring, offering a scalable, non-invasive tool for early cognitive impairment screening. By embedding affective computing into robotic assessment, Lombardo addresses critical gaps in aging populations’ access to timely diagnosis and compassionate care. Their research not only validates robotic test administration but also pioneers a paradigm where technology adapts to human emotional cues, reducing patient anxiety and clinician burden. Lombardo’s contributions are shaping a future where socially intelligent robots become trusted partners in geriatric medicine, blending engineering precision with human-centered design to improve quality of life for older adults with dementia.
Research Focus
Key Achievements
Top Papers
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