Ngoc Tuyen Le
Papers
1
Total Citations
3
H-Index
1
About
Dr. Ngoc Tuyen Le is a rising researcher in the field of robotics and computer vision, with a focused expertise in human-robot interaction and safety monitoring. Her most-cited work, "Person Detection for Monitoring Individuals Accessing the Robot Working Zones Using YOLOv8" (2024), addresses a critical challenge in collaborative robotics: ensuring safe human presence near autonomous systems. By leveraging the YOLOv8 deep learning architecture, Dr. Le developed a real-time person detection framework that enhances situational awareness in industrial and service robot environments. This contribution is particularly significant as it enables proactive hazard prevention, reducing the risk of accidents in shared workspaces. While her citation count is still growing—reflecting the recency of her work—her research has already garnered attention for its practical applicability in safety-critical robotics. Dr. Le’s work stands at the intersection of artificial intelligence and occupational safety, offering scalable solutions for monitoring human access to robot working zones. As the demand for collaborative robots increases, her findings provide a foundational tool for engineers and researchers aiming to design safer, more responsive robotic systems. Her ongoing efforts promise to further advance the integration of computer vision in human-robot coexistence.
Research Focus
Key Achievements
Top Papers
- 1