Xufeng Lv

Papers

Total Citations

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About

Xufeng Lv is a researcher specializing in advanced manufacturing and robotic control, with a particular focus on precision polishing and adaptive automation. His most cited work introduces an adaptive impedance control method for blade polishing that leverages the Kalman filter to enhance real-time force regulation and surface quality. This contribution addresses critical challenges in automated finishing processes, where maintaining consistent contact between tool and workpiece is essential for high-precision outcomes. By integrating state estimation techniques with robotic control, Lv’s approach improves adaptability to varying material properties and geometric complexities, offering a robust solution for industries such as aerospace and energy. Although his highly cited paper is recent, it has already garnered 9 citations, signaling growing recognition among peers in manufacturing and robotics. Lv’s work stands out for its practical application of control theory to real-world manufacturing problems, bridging the gap between theoretical algorithms and industrial deployment. His research holds promise for advancing intelligent automation in precision engineering, making him a notable emerging voice in the field of adaptive robotic systems.