Binbin Wei

Papers

Total Citations

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About

Binbin Wei is a researcher focused on precision manufacturing and automated inspection systems, with particular expertise in laser-based sensing and edge detection for industrial robotics. Their most-cited work, "Research on Edge Detection Algorithm Based on Line Laser Scanning" (2019, 11 citations), addresses a critical challenge in aerospace manufacturing: accurately detecting base holes in large aviation parts during robotic drilling. Wei proposed a novel method using line laser scanning to identify workpiece positions, significantly improving the precision and reliability of automated drilling systems. This contribution is vital for reducing errors in high-stakes assembly processes, where even minor misalignments can compromise structural integrity. By integrating advanced edge detection algorithms with laser technology, Wei’s research enhances the efficiency of robotic manufacturing in the aerospace sector. Their work demonstrates a practical, data-driven approach to solving real-world industrial problems, bridging the gap between theoretical computer vision and applied manufacturing. Wei’s findings offer valuable insights for engineers and researchers developing next-generation automation systems, highlighting the importance of robust sensing techniques in achieving high-precision, autonomous production lines.