Papers
1
Total Citations
4
H-Index
1
About
Xiujie Liu is a researcher focused on advancing robotic welding automation, with a particular emphasis on sensor integration and calibration precision. Their most notable contribution addresses a critical bottleneck in industrial robotics: the hand-eye calibration of welding robots. In their 2024 work, Liu proposed an automatic calibration algorithm using linear structured light, solving the AX = ZB calibration equation to dramatically reduce calibration time, improve accuracy, and simplify operational complexity—challenges that have long hindered real-world deployment. This work has already garnered 4 citations, signaling its immediate relevance to both academic researchers and industrial engineers seeking more efficient robotic systems. Liu’s research sits at the intersection of computer vision, robotics, and manufacturing, offering practical solutions that bridge theoretical calibration methods with on-the-floor automation needs. By streamlining a traditionally labor-intensive process, Liu is helping pave the way for more adaptive, precise, and user-friendly welding robots—a vital step toward smarter factories.
Research Focus
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Top Papers
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