Chenghao Liu

Papers

Total Citations

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About

Dr. Chenghao Liu is a leading researcher in underwater robotics and computer vision, with a primary focus on marine organism detection and autonomous harvesting systems. His most cited work, "Underwater Sea Cucumber Identification Based on Improved YOLOv5" (2022, 28 citations), addresses a critical challenge in marine aquaculture: enabling robots to accurately recognize and locate sea cucumbers in complex underwater environments. By enhancing the YOLOv5 deep learning architecture, Dr. Liu developed a robust machine vision method that significantly improves detection accuracy under challenging conditions like turbidity and variable lighting. This contribution is foundational for the development of intelligent underwater collection robots, bridging the gap between computer vision algorithms and practical marine engineering. His research has direct implications for sustainable aquaculture, reducing the need for manual harvesting while improving efficiency. Dr. Liu's work stands at the intersection of artificial intelligence and marine robotics, demonstrating how advanced object detection can transform underwater resource management. With growing interest in automated marine systems, his innovations continue to influence both academic research and industrial applications in underwater robotics.