Weiyang Deng
Papers
4
Total Citations
45
H-Index
3
About
Weiyang Deng is a pioneering researcher at the intersection of developmental robotics and pediatric rehabilitation, whose work explores how socially assistive robots can actively shape infant motor learning. Her primary research areas include infant-robot interaction, contingency learning, and early neurodevelopmental intervention. Deng’s most impactful contribution is the development and validation of a noncontact, socially assistive infant-robot interaction system that uses contingent reward learning and imitation to encourage leg-motion training in infants—a novel approach with the potential to support optimal neurodevelopmental outcomes from the earliest stages of life. Her 2019 paper on this system has garnered 35 citations, establishing her as a key voice in the field. Deng has further advanced this line of inquiry by investigating how real-time adaptive robot feedback can reinforce infant leg movement acceleration, and by exploring the correlation between leg exploration quantity and variability in contingency learning tasks. Her work is notable for bridging robotics, developmental science, and clinical intervention, offering a scalable, engaging tool for early motor training that could transform how we support infants at risk for developmental delays.
Research Focus
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Top Papers
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