Papers
1
Total Citations
2
H-Index
1
About
Dr. Hu Jun-fei is a robotics researcher whose work centers on computer vision and autonomous perception for humanoid robots, with a particular emphasis on real-time object detection and spatial localization in dynamic environments. His most cited paper, "Humanoid Soccer Robot Target Detection and Localization" (2023), introduces a monocular vision framework that integrates YOLOv8 with the Perspective-3-Point (P3P) algorithm, enabling humanoid robots to accurately detect and localize targets during RoboCup competitions. This contribution addresses a critical challenge in RoboCup: achieving reliable, low-latency perception on resource-constrained platforms. By combining deep learning with geometric pose estimation, Dr. Hu’s method enhances a robot’s ability to track balls, goals, and opponents without relying on expensive sensors. Though his citation count is still growing—reflecting the early stage of his career—his work has immediate practical value for teams competing in international robotics leagues. Dr. Hu’s research exemplifies the intersection of modern computer vision and embodied AI, offering scalable solutions for autonomous soccer robots and, potentially, broader applications in mobile robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Humanoid Soccer Robot Target Detection and Localization2 citations · 2023