Ceng Yong
Papers
2
Total Citations
9
H-Index
2
About
Ceng Yong’s research focuses on the optimization of robotic spray painting trajectories, particularly for complex geometric surfaces. His major contributions lie in developing mathematical models and trajectory planning methods that improve coating uniformity and efficiency in automated manufacturing processes. In his most cited work, “Trajectory Optimization of Spray Painting Robot for Ruled Surfaces” (2010, 6 citations), he introduced a systematic approach to generating optimal gun paths on ruled surfaces, addressing key challenges in industrial robotics. His follow-up study, “Meridian trajectory optimization of spray painting robot for spherical surface” (2010, 3 citations), tackled the specific difficulties of spherical geometries by deriving a coating growth rate model from experimental data and leveraging the advantages of planning spray gun trajectories directly on curved surfaces. Though his citation counts are modest, Ceng Yong’s work represents foundational steps in surface-aware path planning for robotic painting, a critical area for automotive and aerospace manufacturing. His research demonstrates how experimental modeling and geometric reasoning can enhance automation precision, offering valuable insights for engineers and researchers working on robot motion planning and surface coating technologies.
Research Focus
Key Achievements
Top Papers
- 1Trajectory Optimization of Spray Painting Robot for Ruled Surfaces6 citations · 2010
- 2