Papers
3
Total Citations
42
H-Index
2
About
Dr. Junhao Jiang is a researcher whose work bridges intelligent automation, industrial safety, and advanced control systems. His primary research areas include image processing for industrial sorting, neural network adaptive control for robotic systems, and emergency management platforms for hazardous environments. Dr. Jiang’s most impactful contribution is his 2021 paper on the recognition and sorting of coal and gangue, which has garnered 30 citations. In this work, he proposed a novel method combining image processing with a multilayer perceptron to overcome challenges like background grayscale similarity and long-running pollution, significantly improving production efficiency in mining. He also developed a neural network adaptive robust control method for a clutch mechanical leg in driving robots, achieving enhanced motion accuracy and shift performance with transmission torque compensation—a key advancement for autonomous vehicle engagement operations. Additionally, Dr. Jiang designed an emergency command platform for chemical industrial parks, integrating eight modules to support risk prevention and disaster response. His work demonstrates a strong commitment to solving real-world industrial challenges through innovative computational and control techniques.
Research Focus
Key Achievements
Top Papers
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