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About

Mengjie Shou is an emerging robotics and sensing researcher whose work bridges bio-inspired engineering, flexible electronics, and autonomous robotic systems. Drawing on natural locomotion strategies and biological structures, Shou has made notable contributions to climbing robot design, developing systems inspired by inchworms, feline soles, and anole lizards that address longstanding challenges in surface adaptability, grasping strength, and self-perception. The inchworm-like climbing robot (2023, 24 citations) stands as a particularly influential contribution, demonstrating how primate-inspired grasping mechanisms can be integrated with simple locomotion architectures to overcome size and sensing limitations in the field. Equally significant is Shou's research in flexible strain sensing, where a cross-shaped Fe nanowire/graphene/interlock knit fabric sensor (2023, 21 citations) achieved highly sensitive multidirectional strain detection—a breakthrough for applications in medicine, sports science, and virtual reality. More recently, Shou has expanded into triboelectric nanogenerators for self-powered gait recognition and ionic skin technologies capable of distinguishing both touch position and intensity. Collectively accumulating over 60 citations within just a few years, Shou's research reflects a compelling vision of intelligent, bio-inspired machines equipped with sophisticated self-sensing and energy-harvesting capabilities.