Papers
1
Total Citations
14
H-Index
1
About
Qingyu Xu is a researcher specializing in robotics, precision manufacturing, and intelligent control systems, with a particular focus on enhancing the accuracy and efficiency of industrial robots. Their major contribution lies in developing advanced methods for trajectory error compensation in grinding robots, addressing critical challenges in automated machining processes. In their highly cited 2024 work, Xu introduced a novel approach that integrates kinematic calibration with joint variable prediction, significantly reducing positioning errors and improving surface quality in robotic grinding applications. This research has garnered 14 citations in a short period, reflecting its immediate relevance to the field. Xu’s work is notable for bridging theoretical modeling with practical implementation, offering a cost-effective solution for industries requiring high-precision robotic operations. By tackling the inherent inaccuracies of serial robots, Xu has advanced the reliability of automated manufacturing, making their research essential for engineers and researchers working on robotic machining, calibration techniques, and smart factory systems. Their contributions underscore a commitment to enhancing robotic performance in real-world industrial settings.
Research Focus
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Top Papers
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