Suibo Xia
Papers
4
Total Citations
30
H-Index
3
About
Suibo Xia is a leading researcher in intelligent robotic welding systems, with a primary focus on advanced control strategies for multipass welding of thick materials. His work addresses the critical challenge of seam boundary error propagation, a key barrier to achieving high-quality, automated welds in complex geometries. Xia’s major contributions include the development of a novel feedforward compensation algorithm, which formulates the multipass welding process as a closed-loop control problem, effectively suppressing error propagation and enabling more precise filling of shape-varying joints. His 2018 paper on this topic has garnered 13 citations, establishing a foundational approach in the field. He has further advanced the area with data-driven fast input allocation for weld profile control (2021, 8 citations) and adaptive quality monitoring systems that utilize swing high-temperature sensors to handle multiple welding conditions. With a cumulative citation count exceeding 30, Xia’s work is instrumental in moving robotic welding from rigid, pre-programmed tasks to adaptive, sensor-guided processes, significantly improving the reliability and efficiency of automated manufacturing for heavy industries.
Research Focus
Key Achievements
Top Papers
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