Papers
8
Total Citations
192
H-Index
4
About
Zhongwei Li is a leading researcher in intelligent robotic manufacturing and 3D optical metrology, whose work bridges the gap between industrial automation and advanced computer vision. His primary research areas include robotic machining trajectory planning, high-temperature object inspection, and 3D shape measurement for quality control. Li’s most impactful contribution is his 2021 paper on trajectory planning and optimization for robotic machining using measured point clouds, which has garnered 114 citations and addresses the critical challenge of machining large, complex parts with small allowances. He also developed a pioneering robot-driven 3D shape measurement system for automatic quality inspection of thermal objects on forging production lines (39 citations), overcoming the extreme challenges posed by heat radiation. His work on vibration detection and motion compensation for multi-frequency phase-shifting-based 3D sensors (17 citations) has enhanced the reliability of in-situ industrial metrology. Li has further advanced 3D object recognition with his efficient high compatibility correspondence grouping method (HCCG) for cluttered scenes. His research has direct applications in aerospace, energy, and power equipment maintenance, making him a key figure in the evolution of smart manufacturing and automated inspection systems.
Research Focus
Key Achievements
Top Papers
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- 7Automatic 3D inspection metrology for high-temperature objects3 citations · 2017
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