Papers
1
Total Citations
4
H-Index
1
About
Xiangyang Wu is a researcher advancing the precision and reliability of industrial robotics, with a particular focus on real-time trajectory control in welding applications. His most-cited work, "Real-Time Space Trajectory Judgment for Industrial Robots in Welding Tasks" (2024), addresses a critical challenge in automated manufacturing: ensuring that robots adhere to programmed welding paths despite variations in axis data during repeated operations. Wu’s research tackles the risk of trajectory deviations that can lead to out-of-control scenarios, proposing methods to achieve micron-level repeated positioning precision while maintaining real-time judgment of spatial paths. This work has already garnered 4 citations, signaling its relevance to both robotics engineers and manufacturing researchers. By bridging the gap between theoretical positioning accuracy and practical operational safety, Wu contributes to the reliability of industrial automation, particularly in high-stakes welding tasks where precision is paramount. His findings offer valuable insights for developing more robust control systems, making him a notable voice in the field of industrial robotics and real-time trajectory monitoring.
Research Focus
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Top Papers
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