Xingyu Lu

Papers

Total Citations

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About

Xingyu Lu is a researcher specializing in the modeling, calibration, and control of cable-driven parallel mechanisms (CDPMs)—a class of robotic systems where cables replace rigid links to achieve large workspaces and high payload-to-weight ratios. Lu’s most notable contribution is a parameter identification algorithm for separated cable-driven parallel mechanisms, which uses calibration error compensation to enhance positioning accuracy. This work, published in 2025 and already garnering citations, addresses a critical challenge in CDPMs: the discrepancy between theoretical models and real-world performance due to cable elasticity, friction, and manufacturing tolerances. By systematically identifying and compensating for these errors, Lu’s method improves the reliability of CDPMs in applications such as large-scale 3D printing, warehouse automation, and motion simulators. Though early in their career, Lu’s focus on practical calibration strategies positions them as an emerging contributor to precision robotics. Their work bridges the gap between theoretical kinematics and industrial deployment, offering engineers a robust framework for deploying cable-driven systems in high-accuracy tasks. With a citation trajectory that signals growing recognition, Xingyu Lu is a researcher to watch in the field of parallel robotics and mechanism design.