Xiujing Wang
Papers
3
Total Citations
69
H-Index
3
About
Xiujing Wang is a robotics and automation researcher whose work centers on intelligent welding systems, robotic path planning, and point cloud processing. Wang has made significant contributions to advancing autonomous welding technologies, particularly by developing novel methods that eliminate the need for complex manual teaching and programming traditionally required in industrial welding operations. Their most recognized contribution, "A Novel Welding Path Planning Method Based on Point Cloud for Robotic Welding of Impeller Blades" (2022), has accumulated 42 citations, demonstrating meaningful uptake within the robotics and manufacturing communities. This work, alongside their complementary 2021 research on steel mesh welding path planning — which has garnered an additional 27 citations across related publications — establishes Wang as a consistent voice in automating welding workflows through point cloud data acquisition and processing. By leveraging 3D point cloud techniques to enable robots to autonomously identify and plan welding trajectories on complex geometries such as impeller blades and steel mesh structures, Wang's research addresses real-world industrial challenges around efficiency, precision, and operator workload reduction. Their body of work represents a focused and practically impactful research agenda at the intersection of computer vision, robotic automation, and advanced manufacturing.
Research Focus
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Top Papers
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