Qingzeng Ma
Papers
2
Total Citations
10
H-Index
2
About
Qingzeng Ma is a researcher advancing the field of intelligent laser cleaning systems for industrial manufacturing. His work focuses on the intersection of robotics, path planning, and surface engineering, with a particular emphasis on developing automated solutions for large, complex components. Ma’s major contributions include pioneering a path generation method for laser cleaning robots using line structured light, which enables precise, real-time surface mapping and adaptive cleaning trajectories. This work, published in 2020, has accumulated 7 citations and addresses a critical challenge in modern manufacturing: maintaining a fixed focal length and vertical angle between the cleaning head and workpiece surface. In a subsequent 2021 study, Ma further refined off-line programming techniques for laser cleaning, demonstrating how optimized path planning can significantly improve cleaning efficacy for geometrically complex parts. His research is notable for bridging the gap between theoretical robotics and practical green manufacturing, positioning laser cleaning as a viable alternative to conventional mechanical and chemical methods. Ma’s achievements underscore his role in advancing sustainable, high-precision industrial technologies, making him a key contributor to the next generation of automated surface treatment systems.
Research Focus
Key Achievements
Top Papers
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