Hyoung-Gweon Park
Papers
1
Total Citations
4
H-Index
1
About
Hyoung-Gweon Park is a researcher in robotics and intelligent control systems, with a focus on real-time visual servoing and neural network applications. His most cited work, "A neural network based real-time robot tracking controller using position sensitive detectors" (2002, 4 citations), introduces an innovative approach to industrial robot tracking by replacing conventional CCD cameras with Position Sensitive Detectors (PSDs). This design leverages the PSD's rapid analog current output to achieve faster response times, while a neural network learns the complex mapping between sensor data and motor commands, enabling real-time adaptive control. Park’s contribution lies in combining hardware efficiency with machine learning to enhance robotic precision and speed, a foundational idea for later advances in sensor-based automation. Though his citation count is modest, his work highlights an early integration of neural networks into practical robotic systems, demonstrating a forward-thinking approach to overcoming latency in visual feedback loops. For students and researchers, Park’s research underscores the value of optimizing sensor selection and learning algorithms for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1