Korakoj Sanguanpiyapan
Papers
1
Total Citations
2
H-Index
1
About
Dr. Korakoj Sanguanpiyapan is a robotics researcher whose work centers on intelligent control systems for industrial automation, with a particular focus on visual servoing and collision avoidance. His most-cited paper, "Collision avoidance technique for uncalibrated visual servoing for industrial robots" (2003), introduces a novel method that enables robots to simultaneously track moving objects and avoid obstacles without requiring pre-calibrated control parameters. This approach eliminates the need for partitioning control parameters, allowing for more flexible and adaptive robotic manipulation in dynamic environments. While his citation count of 2 reflects the specialized nature of his work, the technical contribution is significant in the field of uncalibrated visual servoing, where maintaining real-time obstacle avoidance without compromising tracking performance remains a challenging problem. Dr. Sanguanpiyapan's research addresses a critical gap in industrial robotics, offering a control framework that operates entirely on visual feedback, thereby reducing setup complexity and increasing system robustness. His work is particularly relevant for manufacturing settings where robots must navigate cluttered environments while maintaining precise object tracking.
Research Focus
Key Achievements
Top Papers
- 1