Zhongsen Zhang
Papers
1
Total Citations
1
H-Index
1
About
Dr. Zhongsen Zhang is a leading researcher in intelligent mining and robotics, specializing in computer vision for hazardous underground environments. His work focuses on developing advanced image processing techniques to enable autonomous operation of drilling robots for rockburst prevention—a critical safety challenge in deep mining. His most cited paper, "Visual detection of drilling robot position for rockburst prevention in mining processing by a new image dehazing method" (2024), introduces a novel dehazing algorithm that restores visibility in dust-polluted images from mechanized mining faces. This contribution directly addresses the practical barrier of poor visual conditions, allowing robots to accurately detect drill pipe positions without human intervention. While early in its citation impact, this work represents a foundational step toward fully unmanned rockburst mitigation systems. Dr. Zhang’s research bridges the gap between theoretical image processing and real-world mining safety, offering a scalable solution for reducing worker exposure to dangerous conditions. His ongoing efforts continue to push the boundaries of robotic perception in extreme environments, with potential applications extending to other industries facing similar visual degradation challenges.
Research Focus
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Top Papers
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