Jiheon Kang
Papers
1
Total Citations
12
H-Index
1
About
Jiheon Kang is a researcher at the forefront of industrial robotics and 3D vision systems, with a focused expertise in enhancing sensor precision for automated inspection. His most-cited work, "Enhancing ToF Sensor Precision Using 3D Models and Simulation for Vision Inspection in Industrial Mobile Robots" (2024, 12 citations), addresses a critical challenge in modern manufacturing: the reliability of time-of-flight (ToF) cameras under fluctuating environmental conditions like temperature and humidity. Kang’s major contribution lies in developing simulation-driven calibration methods that correct sensor degradation, enabling robust 3D measurements without dependence on ambient lighting. This innovation directly improves the accuracy of mobile robots in vision-based quality control, a key bottleneck in Industry 4.0 automation. While his citation count is still growing, the practical impact of his work is notable—bridging the gap between theoretical sensor models and real-world industrial deployment. Kang’s research is particularly valuable for engineers and students working on autonomous navigation, precision metrology, and adaptive sensor systems, offering a data-driven pathway to more resilient robotic perception.
Research Focus
Key Achievements
Top Papers
- 1