Papers
4
Total Citations
65
H-Index
2
About
Dr. Ming Pang is a leading researcher in intelligent robotics and autonomous navigation, with a particular focus on optimizing logistics and industrial automation. His most impactful work, a 2021 study on mobile robot path planning using an improved ant colony algorithm, has garnered 56 citations by introducing a multi-step search strategy that significantly enhances warehouse efficiency. Dr. Pang has also pioneered vision-based navigation, developing the MGRO recognition algorithm—integrating mean and Gaussian filters with Retinex enhancement and Otsu thresholding—to enable mobile robots to navigate using visual sensors. His innovative contributions extend to trajectory planning, where he devised a variable-structure genetic algorithm for multi-limbed robots, and to industrial sorting, where he created the SGH recognition algorithm for binocular vision systems. By combining spatial, gradient, and histogram features, this work enables precise automatic sorting of commodity trademarks. Through these achievements, Dr. Pang has advanced the practical deployment of intelligent robots in complex, real-world environments, bridging the gap between theoretical algorithms and industrial application.
Research Focus
Key Achievements
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