Daniele Lombardo
Papers
1
Total Citations
18
H-Index
1
About
Daniele Lombardo is pioneering the intersection of social robotics and geriatric healthcare, with a primary focus on cognitive impairment assessment and affective computing. His most cited work, "Assessing Feasibility of Cognitive Impairment Testing Using Social Robotic Technology Augmented with Affective Computing and Emotional State Detection Systems" (2023, 18 citations), represents a breakthrough in dementia care. Lombardo demonstrated that the Pepper robot can effectively administer the Mini-Mental State Examination (MMSE) while simultaneously detecting patients' psychophysical and emotional states through integrated affective computing systems. This innovative approach addresses a critical challenge in aging populations: the need for scalable, consistent cognitive screening tools that also monitor patient wellbeing during testing. By combining social robotics with emotional state detection, Lombardo's research opens new pathways for early dementia diagnosis and ongoing care management, potentially reducing the burden on healthcare systems while improving patient experience. His work exemplifies how human-robot interaction can be thoughtfully applied to sensitive medical contexts, making cognitive assessment more accessible and less intimidating for older adults.
Research Focus
Key Achievements
Top Papers
- 1