Luca Raggioli
Papers
12
Total Citations
65
H-Index
5
About
Luca Raggioli is a robotics researcher whose work sits at the intersection of human-robot interaction, social assistive robotics, and machine learning. His research focuses primarily on designing robot behaviors that are comfortable, adaptive, and socially appropriate — particularly for elderly care and educational contexts. Raggioli's most influential contribution, "The Disappearing Robot" (2018, 20 citations), examined how robots performing non-interactive tasks can inadvertently distract users, a nuanced challenge rarely addressed in the field. Building on this, he developed reinforcement learning frameworks that allow assistive robots to adapt their monitoring behavior to individual user preferences and activities, reducing perceived discomfort during human-robot coexistence — work reflected in two well-cited papers from 2019 and 2023. More recently, Raggioli has expanded into trustworthy AI, exploring cognitive architectures for dietary guidance robots and Theory of Mind models that enable robots to recognize user stress and emotional states. His 2023 study on ChatGPT-integrated anthropomorphic robots in educational settings further demonstrates his range, incorporating teacher perspectives into human-centered design. Collectively accumulating over 60 citations, Raggioli's body of work meaningfully advances the goal of building socially intelligent robots that can genuinely support human well-being across everyday environments.
Research Focus
Key Achievements
Top Papers
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- 9Socially Assistive Robot’s Behaviors using Microservices2 citations · 2019
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