Giulia Belgiovine
Papers
15
Total Citations
73
H-Index
6
About
Giulia Belgiovine is a robotics and human-robot interaction (HRI) researcher whose work spans educational robotics, social cognition, long-term personalization, and multimodal perception. Her research addresses some of the most pressing challenges in making robots genuinely useful and socially intelligent partners for humans — particularly in learning and group contexts. Belgiovine has made notable contributions to the design of adaptive robot tutoring frameworks, investigating how robots can tailor interactions to individual users over time to improve engagement and trust. Her studies on educational robotics, including training teachers to deploy robots as pedagogical tools and examining how Italian students perceive social robots in classroom settings, have shaped understanding of robot integration in formal education. Work exploring social exclusion dynamics in human-robot group interactions highlights her interest in the subtler psychological dimensions of HRI. Belgiovine has also advanced robot perception capabilities through self-supervised speaker localization and multimodal person recognition. More recently, she has pioneered architectures combining Large Language Models with memory systems for cross-task robot reasoning and adaptive tutoring. With citations accumulating across multiple venues, her interdisciplinary contributions are gaining meaningful recognition within the HRI and educational robotics communities.
Research Focus
Key Achievements
Top Papers
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- 3What if a Social Robot Excluded You?8 citations · 2023
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