Papers
2
Total Citations
26
H-Index
2
About
You Zheng is a leading researcher in advanced manufacturing robotics, with a primary focus on automated trajectory generation for thermal and cold spray processes. His work addresses the critical challenge of achieving uniform coating on complex, free-form surfaces—a bottleneck in high-precision automotive and aerospace manufacturing. Zheng’s major contributions include pioneering automatic robot trajectory methods that optimize coating quality without manual intervention. His 2018 paper, “Automatic Robot Trajectory for Thermal‐Sprayed Complex Surfaces,” has garnered 15 citations, establishing a foundation for intelligent path planning in surface engineering. Building on this, his 2016 study, “A Global Approach to the Optimal Trajectory Based on an Improved Ant Colony Algorithm for Cold Spray,” with 11 citations, introduced nature-inspired optimization to cold spray robotics, significantly enhancing deposition efficiency and uniformity. Zheng’s work is notable for bridging algorithmic innovation with practical industrial application, offering scalable solutions that reduce waste and improve throughput. His research continues to influence the development of autonomous robotic systems for high-value manufacturing, making him a key figure in the evolution of smart surface-coating technologies.
Research Focus
Key Achievements
Top Papers
- 1Automatic Robot Trajectory for Thermal‐Sprayed Complex Surfaces15 citations · 2018
- 2