Papers
7
Total Citations
239
H-Index
6
About
Leijian Yu is a robotics researcher whose work spans industrial automation, autonomous systems, and computer vision, with a particular focus on developing intelligent robotic solutions for challenging real-world environments. His most influential contribution, a comprehensive review of inspection robots in the oil and gas industry (2019, 105 citations), established him as a leading voice on deploying autonomous systems for safety-critical infrastructure monitoring, addressing corrosion detection and hazard prevention at scale. Yu has also made significant strides in aerial robotics, developing a bioinspired unmanned aerial vehicle capable of adaptive perching behavior through machine learning — work that garnered 48 citations and demonstrated his ability to bridge biological principles with engineering design. His research in visual SLAM, particularly the AFE-ORB-SLAM system (38 citations), advances robotic navigation under complex lighting conditions, enhancing the reliability of mobile robots in unstructured environments. Beyond perception, Yu has contributed to soft robotics, composite manufacturing automation through cooperative mobile-manipulator systems, and industrial tool recognition via benchmark datasets. Collectively, his portfolio reflects a consistent drive to make robots more capable, safer, and practically deployable across demanding industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Vision-Aided Approach to Perching a Bioinspired Unmanned Aerial Vehicle48 citations · 2017
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- 4A benchmark image dataset for industrial tools23 citations · 2019
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