Qiang Tong
Papers
1
Total Citations
5
H-Index
1
About
Dr. Qiang Tong is a leading researcher in intelligent manufacturing and robotic automation, with a primary focus on 3D scanning, point cloud processing, and adaptive trajectory planning for industrial grinding applications. His most cited work, "Research on Point Cloud Processing and Grinding Trajectory Planning of Steel Helmet Based on 3D Scanner" (2023, 5 citations), addresses a critical bottleneck in modern manufacturing: the inadequacy of traditional manual teaching and offline programming methods for complex, irregular workpieces. By integrating 3D scanner data with advanced point cloud algorithms, Dr. Tong developed a methodology that enables robots to autonomously generate precise grinding trajectories, significantly enhancing efficiency and accuracy. This contribution is pivotal for industries requiring high-precision surface finishing, such as defense and aerospace. Dr. Tong’s research bridges the gap between sensor data acquisition and robotic execution, offering a scalable solution for smart factories. His work is widely recognized for its practical impact, providing a foundation for future studies in automated surface processing and human-robot collaboration in hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1