Luofeng Xie
Papers
3
Total Citations
30
H-Index
2
About
Luofeng Xie is a rising researcher at the forefront of intelligent robotic manufacturing, specializing in robotic additive manufacturing, precision metrology, and kinematic calibration. His work addresses critical challenges in industrial automation by integrating advanced computer vision and deep learning techniques. Notably, Xie developed a dynamic mapping strategy combined with a multibranch fusion convolutional neural network for online monitoring of local defects in robotic laser additive manufacturing—a contribution that has garnered 22 citations and offers a real-time solution for quality control in 3D printing processes. He has also advanced robotic drilling systems with an automatic pose measurement method using zoom monocular vision, achieving high precision in complex industrial settings. In the domain of robot calibration, Xie proposed a field kinematic calibration technique that leverages relative pose errors under motion constraints, enabling accurate robot positioning even in confined factory environments. His work on compensating for kinematic errors—stemming from machining, assembly, and long-term wear—has practical implications for extending robot service life and reliability. With a growing citation record and a focus on bridging simulation and real-world application, Xie is establishing himself as an innovator in smart manufacturing and robotic automation.
Research Focus
Key Achievements
Top Papers
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