Papers
2
Total Citations
20
H-Index
2
About
Qiang Sun is a leading researcher in intelligent robotics and urban infrastructure monitoring, whose work bridges computer vision and autonomous systems. His primary research areas include robotic perception, defect detection, and 3D reconstruction for complex environments, with a particular focus on underground infrastructure and manipulation tasks. Sun’s major contributions include developing efficient deep learning models for sewer defect detection that reduce computational complexity while providing detailed damage information, as demonstrated in his highly cited 2024 paper (17 citations). This work has significant implications for urban health monitoring and infrastructure maintenance. Additionally, his LAC-Net architecture addresses the critical challenge of robotic grasping under occlusion, using linear-fusion attention mechanisms to enable accurate object perception even when visibility is limited. Sun’s research has been recognized for its practical impact, with his sewer defect detection paper already gaining substantial attention in the field. His work represents a meaningful advance in making robotic systems more capable in real-world, cluttered environments, from underground pipelines to manufacturing floors.
Research Focus
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Top Papers
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