Papers
1
Total Citations
18
H-Index
1
About
Linbo Hao is a researcher specializing in intelligent manufacturing, computer vision, and automated welding technologies. His work focuses on developing advanced vision-based methods for industrial applications, particularly in the extraction and processing of structured workpieces. Hao's most notable contribution is his novel multi-seam extraction method for medium-thick plates, which leverages DLP (Digital Light Processing) vision to enhance precision and efficiency in automated welding systems. This approach addresses critical challenges in seam detection and path planning, enabling more reliable and adaptive robotic welding in complex industrial environments. With his 2023 paper garnering 18 citations, Hao's research has already demonstrated practical impact, offering solutions that improve productivity and quality in manufacturing sectors such as shipbuilding and heavy machinery. His work bridges the gap between theoretical computer vision and real-world industrial automation, making him a promising figure in the field. Hao's contributions are particularly valuable for students and researchers exploring the integration of 3D sensing and robotics in manufacturing.
Research Focus
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Top Papers
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