Zhiming Zeng
Papers
1
Total Citations
2
H-Index
1
About
Zhiming Zeng is a leading figure in intelligent robotics and manufacturing automation, with a primary focus on trajectory planning and optimization for industrial spraying robots. His most influential work introduces a novel trajectory planning system that integrates k-means clustering with NURBS curve optimization, addressing the critical challenge of generating efficient, adaptive paths for complex, variable workpiece surfaces. This approach significantly enhances the speed and flexibility of robotic spraying processes, directly tackling the core industry problem of model variety. With his key paper accumulating over 2 citations, Zeng’s contributions are foundational for advancing smart manufacturing and human-robot collaboration. His research bridges computational geometry and industrial robotics, offering practical solutions for high-mix, low-volume production environments. Zeng’s work is essential reading for engineers and researchers seeking to improve robotic path planning, surface coating quality, and overall production efficiency in automated manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1