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About

Giuseppe Sansonetti is a versatile researcher whose work spans artificial intelligence, robotics, and human-computer interaction, with a particular focus on how technology can serve human needs across diverse contexts. His early contributions in case-based reasoning laid important groundwork, most notably in image recognition and autonomous robot navigation using sonar maps — work that attracted 25 and 5 citations respectively and demonstrated the practical power of experience-driven AI systems in complex spatial environments. His 2007 paper on case-based reasoning in robot indoor navigation further consolidated this thread of research. In more recent years, Sansonetti has pivoted toward socially impactful applications of personalized interfaces, founding and leading the SOCIALIZE workshop series — now in its third edition — which unites international researchers around the challenge of using technology to foster social and cultural inclusion. This ongoing initiative reflects his commitment to human-centered design at a community level. His most recent work, exploring multimodal large language models deployed through museum social robots to engage children with art, exemplifies his forward-looking integration of cutting-edge AI with accessible, real-world applications. Across his career, Sansonetti has consistently pursued research where intelligent systems meaningfully enhance human experience and belonging.