Antonio De Rossi
Papers
1
Total Citations
2
H-Index
1
About
Antonio De Rossi is a researcher at the intersection of human-robot interaction and cultural heritage preservation, with a focus on developing socially aware robotic systems. His work explores how humanoid robots can engage audiences in cultural heritage contexts, particularly through implicit feedback mechanisms that allow robots to adapt their presentations based on user reactions. In his most-cited paper, "Cultural Heritage Presentations with a Humanoid Robot Using Implicit Feedback" (2016), De Rossi demonstrates a novel approach to making museum and heritage experiences more interactive and personalized. While his citation count remains modest, his contributions are notable for bridging robotics with the humanities, offering a glimpse into how technology can enhance cultural education. De Rossi’s research is particularly relevant for students and scholars interested in affective computing, human-robot collaboration, and the application of autonomous systems in real-world, non-industrial settings. His work underscores the potential for robots to serve as engaging guides in museums, paving the way for more intuitive and responsive human-machine interactions.
Research Focus
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Top Papers
- 1