Papers
1
Total Citations
8
H-Index
1
About
Yi Gong is a leading researcher in advanced manufacturing and robotics, with a focus on automated composite material processing and defect detection. His work bridges the gap between real-time sensing and robotic manipulation, enabling intelligent, in-situ repair of manufacturing defects. Gong’s most-cited paper, “A robotized framework for real-time detection and in-situ repair of manufacturing defects in CFRP patch placement” (2024), has already garnered 8 citations, highlighting its immediate impact on the field. This framework integrates computer vision and robotic control to autonomously identify and correct flaws during carbon fiber reinforced polymer (CFRP) patch placement, a critical process for aerospace and automotive industries. By reducing waste and improving structural integrity, Gong’s contributions advance the efficiency and reliability of composite manufacturing. His work is notable for its practical, real-time application, setting a new standard for smart factory automation. Gong’s research continues to influence both academic studies and industrial practices, positioning him as a key innovator in robotics-driven quality assurance for high-performance materials.
Research Focus
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Top Papers
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