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About

Sujirat Attawibulkul’s research lies at the intersection of human-robot interaction, assistive technology, and developmental robotics, with a focused mission to support children with Autism Spectrum Disorder (ASD) and other special needs. Her work pioneers the use of social robots—such as the BLISS robot—as therapeutic tools to enhance social communication, theory of mind, and personal-social development. In her most cited work (21 citations), she demonstrated how noise-suppressed, MFCC-based speech recognition can enable robots to understand autistic children’s vocalizations during therapy, a foundational step toward responsive robotic assistants. She further explored storytelling robots to help children grasp complex social concepts, and designed daily routine games that reduce parental stress by teaching essential life skills through structured, engaging interactions. Attawibulkul’s contributions are notable for bridging engineering and clinical practice, creating tangible, robot-mediated interventions that address core challenges in autism therapy. Her research has been presented at key robotics and assistive technology venues, and her work continues to influence the design of socially assistive robots for vulnerable populations.