Shaobo Xie
Papers
1
Total Citations
2
H-Index
1
About
Shaobo Xie is a researcher whose work centers on precision manufacturing and robotic material processing, with a particular focus on optimizing surface quality in automated systems. His most-cited paper, "Research on Robot Grinding Technology Considering Removal Rate and Roughness" (2017), addresses a critical challenge in industrial robotics: balancing material removal efficiency with surface finish. By modeling the interplay between grinding parameters, removal rates, and resulting roughness, Xie provides a framework for enhancing robotic machining accuracy—a contribution vital for applications in aerospace, automotive, and tooling industries where surface integrity is paramount. Though his citation count is modest, this work lays foundational groundwork for adaptive control in robotic finishing processes. Xie’s research bridges theoretical modeling and practical implementation, offering insights that can reduce trial-and-error in manufacturing. His focus on process optimization reflects a broader commitment to advancing intelligent automation, making his findings valuable for engineers and researchers seeking to improve robotic precision in material removal tasks.
Research Focus
Key Achievements
Top Papers
- 1