Chuqiao Xu

Shanghai Jiao Tong University, Donghua University

Papers

Total Citations

H-Index

About

Chuqiao Xu is a leading researcher in 3D computer vision and intelligent manufacturing, with a focus on point cloud processing and deep learning for autonomous systems. Their work addresses critical challenges in object segmentation and robotic automation, particularly for applications in autonomous driving and industrial welding. Xu’s most-cited paper, “An Unequal Deep Learning Approach for 3-D Point Cloud Segmentation” (2020, 38 citations), introduces a novel method that recognizes the unequal importance of points in segmentation boundaries, significantly improving accuracy for complex 3D scenes. This contribution has been widely adopted in robotic navigation and autonomous vehicle perception. In “A new welding path planning method based on point cloud and deep learning” (2020, 20 citations), Xu pioneers an integrated approach combining 3D vision sensors with deep learning to automate welding path generation, enhancing precision and efficiency in manufacturing. By bridging point cloud segmentation and real-world robotic tasks, Xu’s work has advanced both theoretical understanding and practical deployment in automation. Their research continues to influence the development of smarter, more adaptive systems for industrial and autonomous applications.