Yuyan Song

Papers

Total Citations

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About

Yuyan Song’s research centers on robotics, computer vision, and precision calibration, with a particular focus on hand-eye coordination systems for automated manipulation. Their most cited work, "Research on Hand-eye Calibration Method Based on Binocular Camera" (2022), introduces a novel calibration technique using a three-dimensional calibration ball and an Eye-in-hand configuration. By fixing a binocular camera to the end of a six-axis robotic arm and controlling its movement to capture point clouds from varied positions, Song developed a method that significantly enhances the accuracy of spatial alignment between the camera and the manipulator. This contribution is critical for applications in industrial automation, surgical robotics, and autonomous assembly, where precise visual-motor coordination is essential. Although early in their career, with 2 citations on this paper, Song’s work demonstrates a rigorous experimental approach and a clear understanding of practical calibration challenges. Their research lays a strong foundation for future advances in real-time robotic perception and control, marking them as a promising contributor to the field of intelligent robotics.