Xiaoteng Zhang

Papers

Total Citations

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About

Xiaoteng Zhang is a researcher in robotics and manufacturing, with a focus on precision machining and automation. His work addresses critical challenges in robotic grinding, particularly in workspace optimization and deformation compensation—key areas for improving accuracy and efficiency in industrial applications. His most-cited paper, "Robot Workspace Optimization and Deformation Compensation in Grinding" (2019), has garnered 2 citations, reflecting its foundational role in advancing robotic precision. While his citation count is modest, Zhang’s contributions are notable for their practical impact on manufacturing processes, where even small improvements in robot performance can yield significant gains in productivity and quality. His research bridges theoretical optimization with real-world application, offering insights into how robots can adapt to dynamic environments and material deformations. Zhang’s work is particularly relevant for students and researchers exploring the intersection of robotics, control systems, and manufacturing engineering, providing a stepping stone for further innovations in automated grinding and surface finishing.