Papers
1
Total Citations
2
H-Index
1
About
Fan Min is a researcher whose work lies at the intersection of robotics, computer vision, and intelligent systems, with a particular focus on the calibration and optimization of vision systems for autonomous robots. His most cited paper, "A study of camera calibration in the vision system of soccer robots" (2014, 2 citations), addresses a foundational challenge in robotic perception: ensuring the accuracy and reliability of visual data captured by cameras in dynamic, competitive environments. Min’s contributions are critical to the field of soccer robotics, where precise camera calibration directly impacts a robot’s ability to interpret its surroundings, make split-second decisions, and execute coordinated team strategies. By investigating methods to enhance the truthfulness of image data, his work supports the broader goal of enabling robots to operate effectively in real-world, unstructured settings. Though his citation count is modest, the technical depth of his research underscores its relevance to applied robotics and computer vision. Min’s achievements reflect a dedication to solving practical problems in autonomous systems, making his work a valuable resource for students and researchers exploring the intersection of hardware calibration and robotic performance.
Research Focus
Key Achievements
Top Papers
- 1A study of camera calibration in the vision system of soccer robots2 citations · 2014