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About

Dr. Jionglong Su is a leading researcher at the intersection of social robotics, human-robot interaction (HRI), and assistive AI, with a particular focus on developing empathetic and perceptive robotic systems for special-needs populations. His work is distinguished by its integration of visual-NLP semantics, tactile perception, and computational emotion models to create robots that can understand human intention and respond appropriately. A major contribution is the development of the FECTS system (28 citations), a facial emotion cognition and training tool specifically designed for Chinese children with Autism Spectrum Disorder, demonstrating a direct clinical application of his research. Dr. Su has also pioneered low-cost, event-triggered tactile perception systems for whole-body social robot interaction, addressing a critical gap in haptic communication. His work on intention understanding in HRI (42 citations) has laid foundational methods for robots to interpret human actions through combined visual and linguistic cues. More recently, he has expanded into federated learning for medical foundation models, as seen in his 2025 work on endovascular surgery. With over 90 cumulative citations, Dr. Su’s research is not only advancing the technical capabilities of social robots but also creating tangible tools for rehabilitation and therapy, making him a key figure in the development of socially-aware and clinically-validated robotic systems.