Haihua Zhang
Papers
2
Total Citations
33
H-Index
2
About
Dr. Haihua Zhang is a leading researcher in the field of autonomous underwater robotics, with a primary focus on the dynamic modeling, control, and learning systems for remotely operated vehicles (ROVs) used in deep-sea mining. Her major contributions lie in advancing the precision and reliability of path tracking control for ROV-based mining vehicles operating in extreme underwater environments. Dr. Zhang’s most cited work, “Dynamic modeling and learning based path tracking control for ROV-based deep-sea mining vehicle” (2024, 25 citations), introduces a novel framework that integrates dynamic modeling with machine learning to enhance trajectory accuracy under uncertain ocean conditions. Building on this, her 2025 paper on cooperative control further extends the methodology to address learned uncertain nonlinear dynamics, enabling more robust multi-vehicle coordination. Her research is pivotal for the sustainable and efficient extraction of deep-sea mineral resources, directly impacting the future of underwater automation. With a growing citation record and a clear trajectory of innovation, Dr. Zhang is establishing herself as a key contributor to intelligent control systems for marine robotics.
Research Focus
Key Achievements
Top Papers
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