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About

Jingxiang Wang is a leading innovator at the intersection of soft robotics, flexible electronics, and intelligent autonomous systems. His primary research focuses on developing high-performance flexible strain sensors and bioinspired sensing mechanisms for wearable technology and soft machines. Wang’s most significant contribution is the creation of a high-fidelity, low-hysteresis bionic flexible strain sensor (122 citations), which overcomes critical limitations of conductive elastomers to enable precise, reliable sensing for soft robotics and wearable devices. He further advanced the field with a selective-response bioinspired strain sensor (52 citations) that uses a viscoelastic middle layer to dramatically improve signal-to-noise ratios, addressing a fundamental challenge in sensor fidelity. Wang’s work extends to practical applications, including an autonomous household robot for object detection and grasping, as well as a flexible sensor with material–microstructure synergistic optimization for wearable physiological monitoring. By combining materials science with bioinspired design, Wang has established himself as a key figure in creating the next generation of soft, intelligent machines that can seamlessly interact with humans and their environment.