Xinguo Ma

Papers

Total Citations

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About

Xinguo Ma is a researcher in robotics and manufacturing, with a primary focus on precision robotic drilling and assembly processes. Their most-cited work, "The method of aiming towards the normal direction for robotic drilling" (2017, 22 citations), addresses a critical challenge in automated manufacturing: ensuring that a robotic drill approaches a workpiece surface at a precise perpendicular angle. This contribution is essential for improving hole quality and reducing tool wear in industries like aerospace and automotive assembly, where even slight angular deviations can compromise structural integrity. Ma’s research provides a practical, algorithm-driven solution for real-time normal vector alignment, enhancing the accuracy and reliability of robotic systems. While their citation count reflects a focused, specialized impact, this work serves as a foundational reference for engineers developing high-precision robotic drilling cells. Ma’s contributions are particularly valuable for students and researchers exploring sensor-guided robotics, path planning, and the integration of computer vision with industrial manipulators. Their work exemplifies how targeted methodological improvements can advance the capabilities of automated manufacturing.