Papers
3
Total Citations
34
H-Index
2
About
Kui Gao is a leading researcher in intelligent robotic manufacturing, specializing in automated grinding, surface finishing, and aerospace assembly processes. His work addresses critical challenges in precision material removal and quality control for complex industrial applications. Gao’s most impactful contributions include the development of a novel force-controlled belt grinding tool for free-form surfaces, enabling adaptive robotic processing that significantly improves efficiency and surface quality—a method that has garnered 16 citations. He also designed a robotic system for friction stir weld seam grinding, incorporating an innovative monitoring method to prevent excessive material removal and protect base metals, a solution equally cited 16 times for its practical value in reducing economic losses. Additionally, Gao implemented a robotic riveting cell for wedge parts in airframe assembly, demonstrating a scalable automation approach for the aerospace industry. His work bridges the gap between theoretical modeling and real-world deployment, with a focus on sensor integration and process control. With a growing citation impact, Kui Gao is recognized for advancing the intelligence and reliability of robotic manufacturing systems, making him a key figure in modern industrial automation.
Research Focus
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Top Papers
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