Yikai Zhang
Papers
1
Total Citations
21
H-Index
1
About
Yikai Zhang is a leading researcher in robotic spray painting and computational geometry, whose work bridges the gap between digital modeling and automated manufacturing. His primary research areas include point cloud processing, trajectory planning for industrial robots, and free-form surface coating optimization. Zhang’s most impactful contribution is a novel point cloud modeling and slicing algorithm, published in 2021, which enables robots to generate precise, efficient spray paths on complex, free-form surfaces—a long-standing challenge in automotive and aerospace manufacturing. This work, cited 21 times, directly improves coating thickness uniformity and reduces material waste, demonstrating a practical synergy between geometry processing and robotics. By integrating edge preservation techniques into point cloud modeling, Zhang has advanced the precision of robotic trajectory planning, offering a scalable solution for high-quality surface finishing. His research not only enhances manufacturing efficiency but also lays the groundwork for adaptive, data-driven robotic systems, making him a notable figure in the intersection of computer graphics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1