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About

Kui Wu is a pioneering researcher at the intersection of smart textiles, soft robotics, and human-computer interaction. His work is best known for developing intelligent wearable systems that transform everyday fabrics into sophisticated sensing and interactive platforms. His landmark paper, "Learning human–environment interactions using conformal tactile textiles" (2021, 375 citations), established a foundational approach to embedding tactile intelligence into conformable garments, while subsequent work on digitally embroidered smart gloves and machine-knitted pneumatic actuators (collectively garnering over 200 citations) demonstrates his mastery of digital fabrication as a pathway to practical, wearable robotics. Wu has made particularly notable contributions to the field of tactile human-machine interfaces, advancing technologies with transformative applications in healthcare, augmented reality, and human-robot collaboration. Beyond textiles, his research extends into differentiable cloth simulation and robot trajectory optimization, reflecting a broad command of computational methods underpinning physical systems. His growing body of work in embodied AI and vision-language models signals an exciting expansion toward intelligent, perception-aware robotic systems. With nearly 800 total citations across nine publications, Wu has rapidly established himself as a distinctive and influential voice in interactive fabrication and intelligent wearables research.