Gui-Hyung Lee
Papers
1
Total Citations
3
H-Index
1
About
Dr. Gui-Hyung Lee is a leading researcher in intelligent robotics and computer vision, with a primary focus on integrating deep learning with robotic manipulation. His most cited work, "Object Detection by Combining Two Different CNN Algorithms and Robotic Grasping Control" (2019), addresses a critical challenge in autonomous systems: precisely predicting an object’s grasping parameters—including center coordinates, width, and yaw angle—for accurate robotic handling. By fusing two distinct convolutional neural network architectures, Dr. Lee’s approach significantly improves the reliability of object detection and grasping point estimation, bridging the gap between perception and physical control. This contribution has garnered 3 citations and is foundational for researchers working on industrial automation and service robotics. His research advances the practical deployment of AI-driven robots in unstructured environments, where precise manipulation is essential. Dr. Lee’s work continues to influence the development of more adaptive and intelligent robotic systems, making him a notable figure in the intersection of computer vision and robotic control.
Research Focus
Key Achievements
Top Papers
- 1