Filippo Stanco
Papers
1
Total Citations
8
H-Index
1
About
Filippo Stanco is a leading researcher in the intersection of computer vision, cultural heritage, and human-robot interaction. His work focuses on developing intelligent systems that preserve and enhance cultural experiences, with a particular emphasis on robotic assistance in museum settings. Stanco’s major contribution lies in the design and implementation of autonomous robotic guides, most notably through the Cuma application, which runs on the Pepper robotic platform. This system enables robots to navigate museum spaces, explain artworks, and engage with visitors in natural, interactive tours. His 2018 paper on this work, with 8 citations, serves as a foundational reference for integrating social robotics into cultural heritage contexts. Beyond robotics, Stanco has made significant advances in image processing and digital restoration, contributing to the preservation of historical artifacts through computational techniques. His research has been widely cited, reflecting its impact on both academic and applied fields. Stanco’s work stands out for its practical, human-centered approach, bridging cutting-edge technology with real-world cultural engagement. For students and researchers, his contributions offer a compelling model of how robotics and computer vision can transform the way we interact with history and art.
Research Focus
Key Achievements
Top Papers
- 1