Yuan Lan
Papers
1
Total Citations
11
H-Index
1
About
Yuan Lan is a researcher focused on intelligent robotics and automated inspection systems, with a particular emphasis on path planning and sensor integration for surface quality control. Their most-cited work, "A path planning method for a surface inspection system based on two-dimensional laser profile scanner" (2019, 11 citations), introduces a novel approach to robotic scanning path generation. In this contribution, Lan developed a section division algorithm using a neighborhood search method to determine optimal scanning orientations, ensuring the generated paths satisfy system constraints such as sensor field of view and robot reachability. This work addresses critical challenges in automated surface inspection, enabling more efficient and accurate defect detection in manufacturing environments. Lan’s research bridges robotics, computer vision, and industrial automation, offering practical solutions for quality assurance processes. With a growing citation record, their contributions are gaining recognition in the field of robotic inspection systems. Lan’s work is particularly valuable for students and researchers interested in the intersection of path planning algorithms and real-world industrial applications, demonstrating how theoretical methods can be effectively translated into operational inspection systems.
Research Focus
Key Achievements
Top Papers
- 1