Cunguang Lou

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About

Cunguang Lou is a pioneering researcher at the intersection of soft materials engineering and human-machine interaction, with key contributions in stretchable electronics and intelligent prosthetics. His work on highly stretchable, self-adhesive elastomers—achieving 26 citations—introduced a novel polymer chain rearrangement strategy that dramatically enhances the mechanical properties of PDMS, enabling high-performance strain sensors for wearable applications. In parallel, Lou has advanced neural control interfaces, developing a squeeze-and-excitation temporal convolutional network (SE-TCN) that achieves continuous, real-time estimation of upper limb joint angles from surface electromyographic signals (9 citations). This work directly addresses the limitations of sEMG-controlled rehabilitation robots. Further extending this capability, he demonstrated real-time control of intelligent prosthetic hands using an improved TCN architecture (6 citations), enabling precise, intuitive manipulation for amputees. By bridging fundamental materials science with practical bionic control, Lou’s research has laid critical groundwork for next-generation soft robotics and assistive devices, with his elastomer design offering a scalable path to durable, skin-conformal sensors.