Linkai Niu
Papers
1
Total Citations
11
H-Index
1
About
Linkai Niu is a researcher focused on intelligent robotic perception and automated inspection systems, with particular expertise in path planning for surface scanning using laser profile scanners. His most-cited work, "A path planning method for a surface inspection system based on two-dimensional laser profile scanner" (2019), introduces a novel section division algorithm based on neighborhood search to determine optimal scanning orientations. This method generates scanning paths that satisfy system constraints, enabling efficient and accurate surface inspection for industrial applications. With 11 citations, this paper has provided a practical foundation for robotic inspection in manufacturing and quality control. Niu's contributions bridge the gap between sensor technology and robotic autonomy, offering scalable solutions for real-world inspection tasks. His work is particularly valuable for researchers and engineers developing automated quality assurance systems, as it addresses key challenges in path optimization and constraint satisfaction. By combining algorithmic innovation with practical implementation, Niu continues to advance the field of intelligent robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1