Shouxin Yan
Papers
2
Total Citations
13
H-Index
2
About
Shouxin Yan is a leading researcher in intelligent robotic manufacturing, with a focus on the automation of complex industrial processes. His work centers on developing model-free path planning methods for robotic grinding, particularly for large, intricate forged parts—a critical challenge in heavy machinery and aerospace manufacturing. Yan’s most-cited paper, "Point cloud-based model-free path planning method of robotic grinding for large complex forged parts" (2024, 10 citations), introduces a groundbreaking approach that leverages 3D point cloud data to generate adaptive grinding paths without requiring pre-existing CAD models, significantly enhancing flexibility and precision in real-world applications. His earlier work, "An Intelligent Path Generation Method of Robotic Grinding for Large Forging Parts" (2021, 3 citations), laid the foundation for this innovation, demonstrating the potential of intelligent algorithms to optimize tool trajectories. Yan’s contributions are pivotal for advancing autonomous robotic systems in manufacturing, reducing human intervention, and improving efficiency. His research not only addresses practical industrial needs but also inspires further exploration into sensor-driven, model-free robotics, marking him as a rising figure in the field of intelligent automation.
Research Focus
Key Achievements
Top Papers
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