Papers
2
Total Citations
81
H-Index
2
About
Xue Lei is a leading researcher in the field of robotic precision and automation, with a primary focus on enhancing the positional accuracy of aviation drilling robots. His major contributions center on developing novel compensation methods that address the complex modeling and computational challenges inherent in traditional error correction techniques. In his highly cited 2018 work, Lei introduced a compensation method based on extreme learning machines, which significantly improves absolute position accuracy while simplifying the modeling process—a breakthrough that has garnered 59 citations. He further advanced the field in 2023 with a Bayesian linear regression approach, demonstrating continued innovation in error compensation. These methods are critical for high-stakes applications in aerospace manufacturing, where millimeter-level precision is essential. Lei’s work is notable for its practical impact, offering computationally efficient solutions that enhance robot reliability and performance. His research bridges machine learning and robotics, providing a foundation for future developments in automated drilling systems. With a growing citation record, Xue Lei is recognized as a key contributor to precision robotics, particularly in the demanding context of aviation assembly.
Research Focus
Key Achievements
Top Papers
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