Alice Giubergia

Papers

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About

Alice Giubergia is a leading researcher at the intersection of robotics and developmental psychology, with a primary focus on robot-assisted therapy for children with Autism Spectrum Disorder (ASD). Her work centers on designing intuitive human-robot interaction systems that can recognize and respond to the subtle, non-verbal cues of children with autism, thereby enhancing social skill development. Giubergia’s most cited paper, “A gesture recognition algorithm in a robot therapy for ASD children” (2022, 28 citations), introduces a novel computational framework that enables robots to interpret children’s gestures in real time, a critical step toward more adaptive and effective therapeutic interventions. She also co-authored “Applications of Robotics for Autism Spectrum Disorder: a Scoping Review” (2023, 26 citations), which stands as one of the most comprehensive surveys in the field, synthesizing over a decade of research to map current trends, gaps, and future directions. Her work has been instrumental in bridging engineering and clinical practice, demonstrating how socially assistive robots can augment traditional therapies. With a growing citation impact and a clear translational vision, Giubergia is shaping the future of inclusive, technology-driven care for neurodiverse populations.