Xiaolong Wei
Papers
1
Total Citations
3
H-Index
1
About
Xiaolong Wei is a researcher specializing in intelligent welding robotics, with a focus on model-driven automation and adaptive programming for complex manufacturing environments. His work addresses a critical challenge in aerospace and shipbuilding: the geometric deviations between digital models and actual flexible components. Wei’s key contribution is the development of a model-driven online correction system for welding robot automatic programming, which enables real-time adjustments to compensate for these deviations, significantly improving precision and efficiency in small-batch production. This innovation, detailed in his 2019 paper (cited 3 times), bridges the gap between theoretical design and practical fabrication, reducing manual intervention and enhancing automation reliability. While his citation count is modest, his work is foundational for industries requiring high-accuracy welding of non-standard parts. Wei’s research has implications for reducing waste and production time, making him a notable figure in the niche field of adaptive robotic welding. His achievements underscore the importance of integrating real-time feedback into manufacturing automation, offering a pathway to more flexible and resilient production systems.
Research Focus
Key Achievements
Top Papers
- 1