Xin Chai

Shanghai University of Engineering Science, Harbin Institute of Technology

Papers

Total Citations

H-Index

About

Xin Chai is a researcher whose work bridges the frontiers of soft robotics and computer vision, with a focus on creating intelligent, adaptive systems. In the realm of materials science, Chai has pioneered the development of self-healing flexible sensors using epoxidized natural rubber (ENR). By harnessing the synergistic effect of coordination and hydrogen bonds, this 2024 work—already garnering 9 citations—enables highly tensile, self-repairing conductive composites for applications in healthcare, sensors, and robotics. This contribution addresses a critical need for durable, reversible deformation in wearable technology. Complementing this, Chai’s earlier research in computer vision tackles the foundational challenge of robust facial landmark detection for human identification and expression recognition. The 2016 study, cited 5 times, advanced cascaded-regression-based methods by initializing multiple poses, improving accuracy for robot systems. Together, these achievements showcase Chai’s versatility in engineering both the physical and perceptual components of next-generation robotics, from self-healing skins to reliable face detection.