Tae-Soon Kang
Papers
1
Total Citations
3
H-Index
1
About
Tae-Soon Kang is a researcher specializing in robotic sensing, autonomous calibration, and welding automation. His work focuses on enhancing the precision and adaptability of industrial robots through advanced sensor integration. His most cited paper, "Autonomous Calibration of a 2D Laser Displacement Sensor by Matching a Single Point on a Flat Structure" (2014), introduces a novel method for calibrating laser vision sensors without manual intervention—a critical step for expanding the capabilities of arc welding robots. By enabling a single-point matching technique on flat surfaces, Kang’s approach simplifies sensor setup, reduces downtime, and improves weld seam tracking accuracy. Though his citation count is modest, his contributions address a practical bottleneck in manufacturing automation, offering a cost-effective solution for real-world deployment. Kang’s work bridges sensor theory and industrial application, making him a notable figure in the field of robotic perception and calibration.
Research Focus
Key Achievements
Top Papers
- 1