Papers
2
Total Citations
107
H-Index
2
About
Dr. Guodong Peng is a leading researcher in robotic welding and intelligent manufacturing, with a primary focus on automated visual perception for welding processes. His work addresses critical challenges in industrial automation, particularly the detection and tracking of narrow butt joints and multi-layer/multi-pass welding (MLMPW) for thick components used in the energy sector. Dr. Peng’s major contributions include developing a vision-based detection method for narrow butt joints that overcomes the limitations of traditional structured light techniques, enabling more reliable robotic seam tracking. He also pioneered a weld position recognition method that fuses directional and structured light information, allowing robots to accurately identify weld pass positions in complex, multi-pass scenarios. His most-cited paper (62 citations) on narrow butt joint detection and his follow-up work (45 citations) on MLMPW recognition have significantly advanced the precision and autonomy of robotic welding systems. These innovations are vital for improving efficiency and quality in heavy-industry manufacturing, and Dr. Peng’s work continues to influence the development of smarter, more adaptive welding robots.
Research Focus
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Top Papers
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