Carla Limongelli
Papers
1
Total Citations
2
H-Index
1
About
Carla Limongelli is a leading researcher at the intersection of artificial intelligence, human-robot interaction, and educational technology. Her work focuses on designing intelligent systems that enhance learning and engagement, particularly for children. A major contribution is her pioneering research on using social robots in museums, where she integrates multimodal large language models (MLLMs) to generate interactive, context-aware questions that deepen children's artistic experiences. Her most-cited paper, "Multimodal LLM Question Generation for Children's Art Engagement via Museum Social Robots" (2025), has already garnered 2 citations, reflecting its timely impact. Limongelli’s work bridges AI and pedagogy, demonstrating how robots can serve as adaptive learning companions. Her notable achievements include advancing the evaluation of LLaVA models for real-world educational settings, pushing the boundaries of how machines understand and respond to human creativity. By combining robotics with cutting-edge language models, she is shaping the future of interactive learning environments, making art and science accessible to young minds. Her research continues to inspire new approaches in human-centered AI and child-robot interaction.
Research Focus
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Top Papers
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