Papers
1
Total Citations
78
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About
Xiaoxu He is a leading researcher in the field of robotic manufacturing, with a primary focus on improving the positional accuracy and operational reliability of industrial robots. His most notable contribution is the development of an error-similarity-based method for enhancing robot positional accuracy, specifically applied to robotic drilling and riveting systems. This work, published in 2016 and garnering 78 citations, addresses a critical challenge in automated assembly: the inherent inaccuracies of industrial robots that limit their use in high-precision tasks. By leveraging the similarity of error patterns across different robot poses, He’s method enables significant accuracy improvements without the need for complex, time-consuming calibration procedures. This innovation has direct implications for aerospace and automotive manufacturing, where precise drilling and riveting are essential. He’s research bridges the gap between theoretical robotics and practical industrial applications, offering a cost-effective solution for upgrading existing robotic systems. His work is widely recognized by peers in manufacturing engineering, serving as a foundational reference for subsequent studies on robot accuracy compensation and error modeling.
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