Federica Liscio
Papers
1
Total Citations
3
H-Index
1
About
Federica Liscio’s research lies at the intersection of human-robot interaction, ontologies, and open data, with a focus on socially assistive robotics. Her most cited work, “Ontologies and Open Data for Enriching Personalized Social Moments in Human Robot Interaction” (2022, 3 citations), introduces a framework that leverages structured knowledge to enhance personalized, context-aware dialogues between humans and robots. This research was developed within the Sugar, Salt & Pepper laboratory, where Liscio explored the use of the Pepper robot in therapeutic settings to promote autonomy and functional skills in individuals with cognitive or motor challenges. By integrating ontologies and open data, her work enables robots to generate more meaningful, adaptive social interactions—moving beyond scripted responses toward truly personalized engagement. Though early in her career, Liscio’s contributions are already shaping how assistive robots can be designed for real-world care environments. Her approach highlights the importance of semantic reasoning in making robots not just functional, but socially intelligent partners in rehabilitation and daily support.
Research Focus
Key Achievements
Top Papers
- 1