Luigi Coviello
Papers
7
Total Citations
108
H-Index
7
About
Luigi Coviello’s research lies at the intersection of socially assistive robotics, human–robot interaction, and healthcare technology for aging populations. His work focuses on designing robots that are not only functional but also socially aware—capable of adapting their behavior, personality, and navigation to foster trust and engagement with frail older adults. Coviello has made key contributions to user profiling in assistive robotics, demonstrating how personality, emotion, and cognitive state can enhance clinical assessment and robot personalization. His most cited paper (31 citations) explores the co-creation of an assistive robot for independent living, offering practical lessons for robot design. He also pioneered the modeling of human-like robot personalities to improve socially aware navigation (16 citations) and developed a robotic sensorized handle to monitor grasping force in older adults—a tool with both robotic and clinical applications. With over 100 total citations across his top papers, Coviello’s work is shaping how robots can support independent living, mobility, and clinical assessment for an aging society. His research is notable for its human-centered approach, blending machine learning, psychology, and robotics to create empathetic, adaptive assistive technologies.
Research Focus
Key Achievements
Top Papers
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