Papers
1
Total Citations
35
H-Index
1
About
Geng Yusen is a rising researcher in intelligent manufacturing and robotic welding, with a focus on automating complex industrial processes. His most cited work, "A point cloud-based welding trajectory planning method for plane welds" (2023), has garnered 35 citations, showcasing his contribution to advancing precision in automated welding. By leveraging 3D point cloud data, Geng developed a novel method that enhances trajectory planning for plane welds, improving efficiency and accuracy in robotic systems. This work addresses critical challenges in real-time path generation, reducing manual intervention and error in manufacturing. His research intersects computer vision, robotics, and industrial automation, with potential applications in aerospace, automotive, and construction sectors. Geng’s approach stands out for its practical integration of sensor data into adaptive welding processes, a key step toward fully autonomous fabrication. As a young scholar, his citation impact signals growing recognition in the field, and his work is paving the way for smarter, more flexible manufacturing systems. Geng Yusen’s contributions are particularly valuable for students and researchers exploring the intersection of robotics and data-driven manufacturing.
Research Focus
Key Achievements
Top Papers
- 1A point cloud-based welding trajectory planning method for plane welds35 citations · 2023