Jingyuan Yu

Papers

Total Citations

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About

Jingyuan Yu is a researcher whose work bridges the theoretical foundations of mechanical systems with practical innovations in robotics. Their key research areas include the dynamics and control of flexible structures, robotic perception for indoor environments, and the mechanical design of specialized robots. Yu’s major contributions are threefold: first, they provided a rigorous mathematical proof that high eigenmodes in a vibrating beam with generalized viscous damping decay uniformly—a critical insight for stabilizing flexible robot arms, using perturbation theory. Second, they advanced unsupervised object segmentation for indoor point clouds by developing a supervoxel-based graph clustering method, addressing the need for both accuracy and real-time performance in robotic scene understanding. Third, Yu designed a novel spiral-driven control system for a pipe cleaning robot, featuring a two-body, six-legged configuration with radially extendable legs for enhanced mobility in constrained spaces. While their citation counts are modest (8, 4, and 2 respectively), the work demonstrates depth across applied mathematics, computer vision, and mechatronics. This blend of theoretical rigor and hands-on engineering makes Yu’s research valuable for students interested in the full pipeline from abstract modeling to tangible robotic systems.