Yuqing Xu

Papers

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About

Yuqing Xu is a pioneering researcher at the intersection of neuromorphic computing and advanced manufacturing, with a core focus on 4-D printing of robotic materials and embedded neural architectures. Her most cited work, "Embedded Neuromorphic Architecture for Form + Function 4-D Printing of Robotic Materials: Emulation of Optimized Neurons" (2021, 5 citations), introduces a groundbreaking approach to creating printable organic neurons that integrate form and function directly into robotic materials. Xu’s major contribution lies in optimizing a neuromorphic architecture that prioritizes simplicity and massive redundancy, enabling scalable, analog neural networks embedded within 3D-printed structures. This work represents a significant step toward self-actuating, adaptive materials that can process information and respond to stimuli without external controllers. By bridging hardware design with material science, Xu has opened new pathways for soft robotics and intelligent matter. Her research, though early in citation impact, is foundational for the emerging field of 4-D printing, where printed objects change shape or function over time. Xu’s innovative synthesis of neuromorphic engineering and additive manufacturing positions her as a key figure in the next generation of autonomous, morphing robotic systems.