Papers
26
Total Citations
460
H-Index
13
About
Alessandra Sorrentino is a prominent researcher specializing in Human-Robot Interaction (HRI), socially assistive robotics, and assistive technologies for older adults. Her work sits at the intersection of behavioral modeling, social robotics, and personalized care, addressing some of the most pressing challenges in creating robots that interact meaningfully and naturally with humans. Sorrentino's most influential contribution is her survey on behavioral models for social robots (2019), which has accumulated over 135 citations across related versions, establishing her as a leading voice in defining how robots should behave in social contexts. Her development and evaluation of ROBIN, a telepresence robot supporting older adults' monitoring and social inclusion, has garnered 62 citations and demonstrated real-world impact through longitudinal field trials. She has further advanced the field through pioneering work on gesture recognition combining vision and wearable systems, automatic engagement assessment, emotion recognition, and personality-driven robot navigation. A consistent thread throughout Sorrentino's research is a commitment to human-centered design — ensuring robots adapt to individual users through profiling, emotional intelligence, and clinically informed personalization. With over 350 cumulative citations and a growing body of work bridging robotics, gerontechnology, and clinical care, her research is shaping the future of compassionate, socially aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Behavioral Models for Social Robots100 citations · 2019
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- 3Living With a Telepresence Robot: Results From a Field-Trial35 citations · 2022
- 4A Survey of Behavioural Models for Social Robots35 citations · 2019
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- 8Emotion Recognizing by a Robotic Solution Initiative (EMOTIVE Project)17 citations · 2022
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- 10Personalizing Care Through Robotic Assistance and Clinical Supervision16 citations · 2022