Lina Wei
Papers
2
Total Citations
8
H-Index
2
About
Lina Wei’s research focuses on the intersection of robotics, surface engineering, and manufacturing automation, with a particular emphasis on spray-painting robot trajectory optimization. Her work addresses the critical challenge of achieving uniform coating on complex, free-form surfaces—a problem that lies at the heart of modern industrial finishing. In her most cited paper, "The Trajectory Optimization of Spray Gun for Spraying Painting Robot Based on Surface Curvature Properties" (2016, 5 citations), Wei pioneered methods that leverage surface curvature to plan efficient, high-coverage paths, directly improving paint quality and reducing waste. Building on this, her 2015 study introduced novel arc spray gun models that account for fluid flow dynamics during spraying, extending traditional 2D and 3D trajectory models to natural quadric surfaces. Though her citation counts are modest, her contributions are foundational for researchers tackling the practical constraints of robotic painting in automotive and aerospace manufacturing. Wei’s work is notable for bridging theoretical geometry with real-world fluid dynamics, offering a systematic framework that continues to inform trajectory planning algorithms. Her research stands as a valuable resource for students and engineers seeking to enhance automation precision in surface coating applications.
Research Focus
Key Achievements
Top Papers
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- 2