Shanshan Yang
Papers
1
Total Citations
7
H-Index
1
About
Shanshan Yang is a leading researcher in intelligent manufacturing and robotic welding automation, with a primary focus on integrating 3D visual perception into industrial robotics. Her most cited work, "A novel robot welding path planning system for medium-thick plate based on 3D visual perception" (2025, 7 citations), introduces a groundbreaking approach to automating complex welding tasks for medium-thick plates—a critical challenge in heavy industries such as shipbuilding and construction. By combining advanced 3D vision sensors with adaptive path planning algorithms, Yang’s system enables robots to autonomously detect weld seams, adjust to plate variations, and optimize welding trajectories in real time, significantly improving precision and reducing manual programming time. This contribution addresses a long-standing bottleneck in flexible manufacturing, where traditional offline programming fails to handle geometric uncertainties. Though early in her career, Yang’s work has already garnered attention for its practical impact, offering a scalable solution for smart factories. Her research bridges computer vision, robotics, and process engineering, positioning her as an emerging innovator in Industry 4.0. With a focus on enhancing productivity and quality in heavy fabrication, Yang continues to push the boundaries of autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1