Kun Gao

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Total Citations

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About

Kun Gao is a researcher whose work centers on advanced path planning algorithms for industrial laser applications, with a particular focus on precision surface treatment. His most-cited paper, "Path planning algorithm for laser removal of paint from aircraft skin" (2023), has garnered 8 citations, establishing a foundation for optimizing automated laser cleaning processes. This contribution addresses critical challenges in aerospace maintenance by developing efficient, collision-free trajectories that minimize thermal damage while maximizing paint removal speed. Gao's research bridges computational geometry and laser engineering, offering practical solutions for restoring aircraft surfaces without manual abrasion. His work demonstrates a keen understanding of real-world constraints, including complex curved geometries and varying paint thicknesses. While his citation count reflects an early-stage career, the targeted impact of his algorithm suggests growing relevance as industries seek more sustainable, precise alternatives to chemical stripping. Gao's contributions are particularly notable for their potential to reduce hazardous waste and labor costs in aviation maintenance, positioning him as a promising innovator in the intersection of robotics, laser technology, and aerospace engineering.