Mohd Ridzuan Abdul Samat

Papers

Total Citations

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About

Driven by a passion for leveraging technology to support neurodiverse individuals, Mohd Ridzuan Abdul Samat is a leading researcher at the intersection of robotics, artificial intelligence, and assistive therapy. His primary focus lies in developing human-robot interaction (HRI) systems to enhance social communication and emotional understanding for children with Autism Spectrum Disorder (ASD). His most influential work, "Humanoid robot NAO as a teaching tool of emotion recognition for children with autism using the Android app" (37 citations), pioneered the use of the NAO robot to physically demonstrate emotional poses through a simple guessing game, creating an engaging, low-pressure learning environment. This foundational study demonstrated the powerful potential of embodied robots in special education. Further refining this approach, his work on "Development of face recognition algorithm for enhancement of social communication of robotic assistive autism therapy" proposes sophisticated computer vision techniques for real-time face tracking and recognition, enabling robots to respond adaptively to a child's social cues. By bridging the gap between advanced robotics and clinical therapy, Samat’s research lays critical groundwork for more responsive, personalized assistive technologies, offering a transformative path toward improved social outcomes for children with ASD.