Yan‐Jun Hu
Papers
2
Total Citations
53
H-Index
2
About
Yan‐Jun Hu is a leading researcher in marine robotics and intelligent vision systems, with key contributions spanning underwater object detection, robot manipulator control, and sensor fusion. Hu’s most cited work introduces a YOLO-based marine organism detector enhanced by a two-terminal attention mechanism and difficult-sample resampling, directly tackling the challenges of noisy underwater imagery and class imbalance—a breakthrough that has already garnered 44 citations and significantly advanced autonomous marine monitoring. In parallel, Hu developed a novel visual servoing framework for robot manipulators that integrates a Kalman filter-optimized extreme learning machine with fuzzy logic, solving persistent issues of perturbation noise, statistical error, and slow convergence in uncalibrated environments (9 citations). This dual focus on robust detection and precise control positions Hu at the forefront of deploying AI-driven automation in complex, real-world aquatic settings. By addressing both perception and actuation, Hu’s work enables more reliable underwater exploration, ecological surveying, and autonomous manipulation—paving the way for next-generation marine robotics.
Research Focus
Key Achievements
Top Papers
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- 2