Xue Jun

Papers

Total Citations

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About

Xue Jun is a researcher specializing in robotics and manufacturing automation, with a particular focus on the mechanical design and optimization of industrial robots. Their most-cited work, "Static stiffness modeling for optimizing drilling and riveting robots" (2021), has garnered 4 citations and addresses a critical challenge in precision manufacturing: ensuring the structural rigidity of robots used in high-accuracy tasks like drilling and riveting. By developing a static stiffness model, Xue Jun provides a framework for optimizing robot design to minimize deformation under load, directly improving the reliability and precision of automated assembly processes. This contribution is particularly relevant to industries such as aerospace and automotive manufacturing, where even minor deviations can lead to costly errors. While their citation count is still growing, the work demonstrates a strong foundation in applied mechanics and robotics, positioning Xue Jun as a promising contributor to the field of manufacturing automation. Their research offers practical insights for engineers seeking to enhance the performance of robotic systems in demanding industrial environments.