Riccardo Zucca
Papers
4
Total Citations
62
H-Index
4
About
Riccardo Zucca is a leading researcher at the intersection of human-robot interaction and developmental cognitive science. His work primarily focuses on designing educational robots that can form symbiotic, adaptive relationships with children, moving beyond simple tools toward genuine learning companions. Zucca’s central contribution is the EASEL Project, which explores how robots can infer a child’s cognitive and emotional state to personalize tutoring in real time. His foundational papers on this topic (2016) have garnered over 40 combined citations, establishing a framework for synthetic tutor assistants. In a widely cited 2017 study (14 citations), Zucca systematically analyzed children’s expectations of robotic companions, revealing critical insights into preferred morphology, functionality, and social behaviors—work that directly informs how robots are designed for classroom settings. He has also contributed to theoretical neuroscience, exploring how grid-cell “mental travel” mechanisms might underlie vicarious trial and error in navigation. Through his interdisciplinary approach, Zucca bridges computational modeling, developmental psychology, and robotics, shaping how next-generation educational technologies can foster deeper, more intuitive human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1The EASEL Project: Towards Educational Human-Robot Symbiotic Interaction26 citations · 2016
- 2Towards a Synthetic Tutor Assistant: The EASEL Project and its Architecture17 citations · 2016
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