Chunnian Zeng
Papers
10
Total Citations
179
H-Index
7
About
Chunnian Zeng is a leading researcher in advanced manufacturing robotics, with a focus on automated surface engineering for aerospace components. His work centers on developing intelligent robotic trajectory planning and calibration methods for critical processes including cold spray, thermal spray, and robotic polishing. Zeng’s most influential contribution is his 2013 study on coating thickness uniformity in cold spray, which has garnered 79 citations and established foundational principles for process optimization. He has pioneered computer-aided strategies for robot trajectory auto-generation in thermal spraying (34 citations) and developed innovative approaches for aero-engine turbine blade finishing, including a point cloud-based polishing trajectory method for thermal barrier coatings. His recent work on point cloud registration for robotic grinding calibration (14 citations) and hierarchical visual models for arc welding guidance (8 citations) demonstrates his ongoing impact in solving real-world industrial challenges. Zeng’s research portfolio, spanning over a decade with papers cited from 2008 to 2024, reflects a sustained commitment to bridging robotics, computer vision, and surface engineering—advancing the precision and efficiency of automated manufacturing for high-performance aerospace applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Computer-Aided Robot Trajectory Auto-generation Strategy in Thermal Spraying34 citations · 2015
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- 6A hierarchical visual model for robot automatic arc welding guidance8 citations · 2022
- 7
- 8Graph-based robust 3D point cloud map merging approach for large scale3 citations · 2024
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