Xiaoyue Jin

Papers

Total Citations

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About

Xiaoyue Jin is a robotics researcher whose work focuses on intelligent vision systems for automated manufacturing, particularly in arc welding applications. Her most-cited paper, "A hierarchical visual model for robot automatic arc welding guidance" (2022, 8 citations), addresses a critical limitation in traditional welding robots: their inability to adapt feature extraction methods to different seam types or correct for positioning and machining errors. Jin’s hierarchical visual model enables robots to autonomously adjust their guidance strategies, significantly improving welding precision and flexibility in real-world industrial settings. This contribution is foundational for advancing adaptive robotic automation, reducing the need for manual intervention in complex fabrication tasks. Jin’s work bridges computer vision and manufacturing, offering practical solutions for intelligent production lines. Her research has been recognized for its potential to enhance efficiency and accuracy in automated welding, making her a notable emerging voice in the field of robotic perception and control.