Papers
2
Total Citations
16
H-Index
2
About
Lina Li is a researcher whose work centers on advancing robotic path planning for precision manufacturing and inspection. Her key research areas include robotic fibre placement, surface inspection systems, and the development of accurate algorithms for automated manufacturing processes. Li’s major contributions lie in creating novel path planning methods that enhance the efficiency and accuracy of industrial robots. Notably, she proposed a method for two-dimensional scanning path planning using a neighborhood search-based section division algorithm, which optimizes scanning orientation for surface inspection systems—a paper that has garnered 11 citations. Additionally, her work on an accurate path planning algorithm based on triangular meshes for robotic fibre placement introduced a robust approach for generating initial paths and offset curves at various laying angles, earning 5 citations. These contributions demonstrate her impact on improving automated manufacturing workflows, particularly in complex tasks requiring high precision. Li’s research is valuable for students and engineers seeking to understand how algorithmic innovation can solve real-world challenges in robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
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