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About

Daniele Mazzei is a pioneering researcher at the intersection of social robotics, human-robot interaction, and affective computing, whose work has fundamentally advanced our understanding of how machines can engage meaningfully with humans. His research centres on developing humanoid robots capable of sophisticated emotional expression, social perception, and cognitively grounded behaviour. Mazzei's most celebrated contributions include the design of context-sensitive gaze-control systems for humanoid robots (97 citations) and HEFES, a hybrid engine enabling lifelike facial expression synthesis in androids and avatars (68 citations). His SEAI framework, grounded in Damasio's neuroscientific theory of mind, represents a landmark attempt to give robots genuinely human-like emotional intelligence (57 citations). Notably, his work with FACE — a humanoid robot designed to express empathy — broke new ground in autism therapy applications, demonstrating measurable benefits for individuals with Autism Spectrum Disorders (56 citations), and earning widespread recognition across clinical and robotics communities. With contributions spanning social perception architectures, psychophysiological evaluation of robotic expressiveness, and educational human-robot symbiosis, Mazzei has accumulated over 480 citations. His body of work stands as an essential reference for anyone exploring the future of socially intelligent machines.