Jingfen Qiao

Papers

Total Citations

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About

Dr. Jingfen Qiao is a leading researcher in biomimetic robotics, specializing in the design and control of robotic fish for marine applications. Her work primarily focuses on autonomous underwater navigation, path planning, and motion control for these bio-inspired systems. Dr. Qiao’s major contributions include the development of a tuna-like robotic fish equipped with a three-dimensional helix path-following control system, specifically designed for inspecting deep-sea net cages—a critical innovation for sustainable mariculture. Her most-cited paper (18 citations) addresses the challenge of precise 3D trajectory tracking in complex underwater environments. Additionally, she has pioneered a path planning method using the beetle swarm optimization (BSO) algorithm, which enables robotic fish to avoid obstacles while satisfying multiple constraints, as detailed in her work with 7 citations. By integrating model predictive control with advanced optimization techniques, Dr. Qiao has significantly enhanced the autonomy and reliability of underwater robots. Her research directly supports the growing need for automated solutions in marine aquaculture and environmental monitoring, making her a notable figure in the field of underwater robotics and control systems.