Ru-Xiang Hua
Papers
2
Total Citations
11
H-Index
2
About
Ru-Xiang Hua is a researcher advancing the field of intelligent manufacturing and robotic spraying automation. His work focuses on developing efficient, data-driven methods for spray path planning, particularly for complex three-dimensional surfaces. Hua’s key contributions include a novel model of the spray tool and an associated parameter optimization method, which enables more precise and efficient coating processes. This foundational work, published in 2021, has garnered 7 citations, establishing a framework for subsequent research. Building on this, he introduced a spraying path planning algorithm that leverages point cloud segmentation and trajectory sequence optimization, published in 2024 with 4 citations. This approach enhances adaptability to irregular geometries, reducing material waste and cycle time. Hua’s research directly impacts industries such as automotive and aerospace manufacturing, where uniform coating is critical. His notable achievement lies in bridging computational geometry with practical robotics, offering scalable solutions for automated surface finishing. By integrating point cloud processing with path optimization, Hua is shaping the next generation of smart spraying systems, making his work essential reading for researchers in robotics, manufacturing, and applied optimization.
Research Focus
Key Achievements
Top Papers
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