Shaokui Gu

North China University of Water Resources and Electric Power

Papers

Total Citations

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About

Dr. Shaokui Gu is a researcher at the forefront of underwater environmental robotics and computer vision, with a focused expertise in intelligent waste detection and localization. His most impactful work introduces a novel improvement to the YOLOv5 deep learning architecture, specifically designed to tackle the critical challenge of identifying and positioning submerged litter. This contribution directly addresses the escalating crisis of plastic pollution in aquatic ecosystems, providing a foundational technology for autonomous robotic cleanup systems. With his top-cited paper from 2023 already garnering 8 citations, Dr. Gu’s research is rapidly gaining recognition for its practical, real-world application in environmental conservation. By bridging advanced object detection algorithms with the complex demands of underwater environments, his work not only advances the field of marine robotics but also offers a scalable, technological solution to one of the most pressing ecological threats of our time.