Cesare Pecone
Papers
1
Total Citations
3
H-Index
1
About
Cesare Pecone is a researcher at the intersection of human-robot interaction, knowledge engineering, and assistive technologies. His work centers on leveraging ontologies and open data to create more personalized, socially aware robotic systems, particularly for therapeutic and rehabilitative contexts. His most cited paper, "Ontologies and Open Data for Enriching Personalized Social Moments in Human Robot Interaction" (2022), proposes a framework for enriching social dialogues between humans and robots by structuring contextual knowledge. This research was conducted within the Sugar, Salt & Pepper laboratory, where Pecone explored the use of the Pepper robot to promote autonomy and functional skill acquisition in individuals with cognitive or motor challenges. Though early in his career, his contributions are notable for bridging semantic web technologies with socially assistive robotics, aiming to make human-robot interaction more adaptive and meaningful. His work holds promise for advancing personalized care through intelligent, context-aware robotic companions.
Research Focus
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Top Papers
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