Shengzhao Lin
Papers
4
Total Citations
27
H-Index
3
About
Shengzhao Lin is a pioneering researcher at the intersection of social robotics and assistive technology, with a primary focus on developing emotionally interactive robots for autism spectrum disorder (ASD) rehabilitation. His work centers on three key areas: human-robot interaction for therapeutic applications, computational models of emotion for social robots, and tactile perception systems for whole-body interaction. Lin’s most impactful contribution is his 2019 clinical study on attention shifting during child-robot interaction for children with ASD (10 citations), which demonstrated the potential of socially assistive robots to improve rehabilitation outcomes. He further advanced the field by designing and optimizing emotionally expressive robot heads for autism treatment (7 citations), addressing the critical need for robots capable of facial expression recognition and eye contact. Lin also developed an event-triggered low-cost tactile perception system (7 citations) enabling social robots to engage in haptic interaction, overcoming a major limitation in current audio-visual-only systems. His most recent work, the AppraisalCloudPCT computational model of emotions (2023), represents a significant step toward adaptive robots that can better serve individuals with special needs. Through these innovations, Lin has established himself as a key contributor to making socially interactive robots more effective therapeutic tools.
Research Focus
Key Achievements
Top Papers
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