Francesco Alessandro
Papers
1
Total Citations
8
H-Index
1
About
Francesco Alessandro is a leading researcher in social robotics and human-robot interaction, with a particular focus on deploying autonomous systems in cultural heritage settings. His most-cited work, "Experiences in Using the Pepper Robotic Platform for Museum Assistance Applications" (2018, 8 citations), introduces the Cuma software architecture—a pioneering robotic museum guide designed to navigate visitors through exhibits, deliver informative commentary on artworks, and engage in natural, interactive dialogue. This contribution demonstrates his expertise in bridging robotics with real-world public engagement, showcasing how platforms like Pepper can enhance visitor experiences through adaptive, context-aware assistance. Alessandro’s research not only advances the technical integration of perception, navigation, and conversational AI but also addresses critical challenges in human-robot trust and social acceptability. His work has laid foundational groundwork for future applications in education, tourism, and assistive robotics, earning recognition for its practical impact. By combining rigorous software engineering with user-centered design, Francesco Alessandro continues to shape how robots can meaningfully enrich human cultural experiences.
Research Focus
Key Achievements
Top Papers
- 1