Papers
2
Total Citations
46
H-Index
2
About
Yanlong Tai is a leading researcher at the intersection of flexible electronics, smart materials, and human-machine interaction. His work focuses on developing novel polymer networks and adaptive control systems for next-generation perceptual devices and assistive robotics. Tai’s most notable contribution includes the discovery of anomalously thermally expanded polymer networks, which enable flexible perceptual devices with unprecedented sensitivity and stability—a breakthrough that has garnered 27 citations since 2021. This work challenges conventional material behavior, opening new pathways for soft robotics and wearable sensors. In parallel, Tai has advanced the field of locomotion prediction for walking-assistive devices. His 2024 study on predicting continuous locomotion modes via multidimensional feature learning from surface electromyography (sEMG) has already earned 19 citations. By enabling adaptive control methods that anticipate human intent—such as distinguishing level walking from stair ascent—Tai’s research enhances the intelligence and transparency of robotic exoskeletons. His work is pivotal for creating seamless, intuitive human-robot collaboration, with direct applications in rehabilitation and mobility assistance.
Research Focus
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