Shiyu Xing
Papers
7
Total Citations
135
H-Index
4
About
Shiyu Xing is a robotics researcher whose work bridges industrial automation and intelligent perception, with a focus on robotic welding, inspection, and precision manipulation. Xing’s most impactful contribution is the development of Shuffle-YOLO, a deep neural network for complex weld seam feature point extraction that enables real-time seam tracking and posture adjustment—a paper that has garnered 63 citations since 2023. This work directly addresses the challenge of achieving high-quality robotic welding in demanding industrial environments. Xing has also advanced environment perception for power transmission line inspection robots (31 citations), introducing a flexible hand–eye calibration technique using arbitrary objects (22 citations), and designing a novel robotic end-effector for side-access bolting (12 citations). Notably, Xing contributed to the autonomous prism target maintenance robotic system for the Five-Hundred-Meter Aperture Spherical Radio Telescope (FAST), the world’s largest radio telescope, and has tackled pose measurement and tool control frame calibration for automatic cabin docking in aerospace manufacturing. With a citation count exceeding 135 across key publications, Xing’s work is shaping the future of intelligent, autonomous robotic systems in critical infrastructure and manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Reconstruction-Based Hand–Eye Calibration Using Arbitrary Objects22 citations · 2022
- 4A Robotic End-Effector for Screwing and Unscrewing Bolts From the Side12 citations · 2022
- 5APTMRS: Autonomous Prism Target Maintenance Robotic System for FAST4 citations · 2024
- 6Maximum Allowable TCF Calibration Error for Robotic Pose Servoing2 citations · 2024
- 7Pose Measurement and TCF Calibration for Automatic Cabin Docking1 citations · 2024