Jiaxu Nie

Papers

Total Citations

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About

Jiaxu Nie is an emerging researcher specializing in robotic manufacturing, computer vision, and intelligent automation, with a particular focus on the precision grinding of weld seams in industrial applications. His work addresses a critical challenge in modern manufacturing: ensuring that robotic systems can accurately and consistently process welds despite real-world complications such as assembly errors and thermal deformation. In his highly cited 2022 paper on model segmentation for weld seam grinding robots, which has garnered 18 citations, Nie introduced an efficient system architecture that significantly advances automation in post-weld finishing processes. Building on this foundation, his 2023 contributions further refined the field through a quantitative grinding depth model (11 citations) and a vision sensing-based online correction system (7 citations), the latter enabling real-time track correction to improve surface consistency and extend the service life of structural components. Together, these works demonstrate a coherent and rapidly developing research trajectory aimed at bridging the gap between theoretical robotic paths and real-world manufacturing demands. Nie's growing citation record reflects increasing recognition of his contributions within the robotics and intelligent manufacturing communities.