Zhihao Zhang

Dalian Maritime University, Zhejiang University

Papers

Total Citations

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About

Zhihao Zhang is an emerging researcher at the intersection of computer vision, robotics, and intelligent perception systems. His work focuses on developing advanced algorithms that enable autonomous robots to better understand and interact with complex real-world environments. Zhang's most notable contribution, YOLO8-FASG, addresses one of the persistent challenges in underwater robotics — the accurate detection of small, fast-moving fish in constrained visual conditions. This work, which has garnered 29 citations since its 2024 publication, demonstrates his ability to push the boundaries of object detection models by enhancing detection flexibility and receptive field capacity. More recently, Zhang has expanded his research into terrain analysis for ground mobile robots, proposing a spatial-temporal traversability assessment framework leveraging sparse Gaussian processes for real-time navigation in unstructured outdoor environments. This 2025 contribution reflects his growing interest in enabling robust autonomous navigation beyond controlled settings. Across his work, Zhang consistently tackles practical deployment challenges in robotics, bridging the gap between theoretical machine learning techniques and real-world robotic applications — positioning him as a promising contributor to the next generation of intelligent autonomous systems.