Youlim Ko
Papers
1
Total Citations
2
H-Index
1
About
Youlim Ko is a researcher focused on computer vision and autonomous robotic systems, with particular expertise in image segmentation and spatial perception. In their notable 2020 work, "Target Distance Calculation Method Using Image Segmentation," Ko proposed an innovative system enabling robots to navigate hazardous environments by calculating target distances through advanced image segmentation techniques. This research addresses the critical challenge of replacing human workers in dangerous settings with intelligent robotic alternatives, leveraging modern hardware and software advances to achieve high performance at reduced costs. While the paper has garnered 2 citations to date, its practical implications for industrial safety and automation are significant. Ko's work contributes to the growing field of human-robot interaction and autonomous navigation, demonstrating how computer vision can enhance robotic decision-making in real-world scenarios. Their research represents an important step toward developing cost-effective systems that can operate in life-threatening environments, potentially transforming industries where human safety is a primary concern.
Research Focus
Key Achievements
Top Papers
- 1Target Distance Calculation Method Using Image Segmentation2 citations · 2020