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About

Zhengzhi Mu is at the forefront of bioinspired intelligent systems, pioneering the integration of biological mechanosensory principles into next-generation robotics and recognition technologies. His primary research areas span bionic recognition, soft robotics, and rigid–flexible coupling systems, where he draws inspiration from nature to solve complex engineering challenges. Mu’s major contributions include developing novel mechanical information recognition technologies (MIRT) that emulate how organisms perceive force, vibration, sound, and flow—enabling advanced health monitoring and human-machine interaction. His work on bioinspired soft robots, which seamlessly integrate biological motion mechanisms with rigid–flexible coupling, addresses critical needs in biomedical engineering, particularly for flexible, safe movement in both in vivo and in vitro environments. With his most-cited paper, "Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems" (2025), already garnering 17 citations, Mu is establishing a significant impact in the field. His research not only advances fundamental understanding of biological sensing but also offers practical pathways for developing intelligent, adaptive mechanical systems—making him a rising leader in the convergence of biology, materials science, and robotics.