Marco Cianciotta

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About

Marco Cianciotta is a researcher at the intersection of social robotics and human-robot interaction, with a focus on using technology to foster social inclusion. His primary research areas include gesture recognition, non-verbal communication, and the application of social robots as educational tools for vulnerable populations. Cianciotta’s most notable contribution is his pioneering work on using social robots to support the integration of unaccompanied migrant children. In his highly cited 2019 study (14 citations), he explored how robots can tutor second languages and teach the meaning of culture-related gestures, helping bridge cultural gaps for newly arrived minors. His follow-up work on recognizing waving gestures (2020) advanced the field of socially believable robot behavior, enabling machines to interpret and respond appropriately to human non-verbal cues. By combining technical innovation with a humanitarian mission, Cianciotta demonstrates how robotics can address real-world social challenges. His research is particularly impactful for students and scholars interested in inclusive technology, migration studies, and the design of empathetic artificial agents.