Xiao Hua Ni

Papers

Total Citations

H-Index

About

Xiao Hua Ni is a researcher whose work centers on robotics path planning and coating uniformity optimization, with a particular focus on spray painting automation. His key contributions lie in developing algorithms to enhance the precision and efficiency of robotic paint application on complex free-form surfaces. His most cited work, "Path Optimization of Spray Painting Robot for Zigzag Path Pattern" (2013), addresses the critical challenge of coating uniformity at the borders between adjacent path patches. By dividing complex surfaces into smaller patches based on thickness error constraints and optimizing the zigzag path pattern, Ni's algorithm significantly improves paint distribution consistency. This research has practical implications for manufacturing industries requiring high-quality, automated finishing processes. While his citation count remains modest, his work contributes to the foundational understanding of robotic path optimization for surface coating, a niche but industrially relevant field. Ni's approach to solving real-world manufacturing problems through algorithmic innovation demonstrates the value of applied robotics research in improving production quality and efficiency.