Lai Zou
Papers
26
Total Citations
639
H-Index
11
About
Lai Zou is a prominent researcher specializing in robotic machining, precision manufacturing, and intelligent control systems, with a particular focus on the automated grinding and finishing of complex aerospace components. His work has made substantial contributions to the field of robotic belt grinding, especially for high-performance aero-engine blades made from challenging materials such as nickel-based superalloys, titanium alloys, and aluminum. Zou's most cited contribution — a hybrid Levenberg-Marquardt and Differential Evolution algorithm for industrial robot kinematic calibration (181 citations) — has significantly advanced robot accuracy and repeatability. His research further addresses critical challenges in force/position control, adaptive fuzzy control, and trajectory planning, developing methods that improve surface quality and profile accuracy under uncertain machining conditions. Notably, Zou has pioneered error compensation strategies for residual height in blade grinding and explored the aerodynamic implications of surface finish quality in transonic compressor blades. More recently, he has integrated machine learning techniques, including U-Net-based belt wear monitoring, and investigated energy efficiency in grinding processes aligned with green manufacturing goals. With over 535 cumulative citations, Zou's body of work represents a rigorous and impactful bridge between intelligent robotics and high-precision aerospace manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10