Guangqing Xia
Papers
8
Total Citations
47
H-Index
5
About
Guangqing Xia is a leading researcher in biomimetic robotics, specializing in the hydrodynamics and intelligent control of robotic fish. His work focuses on optimizing pectoral fin propulsion, developing data-driven dynamic models, and achieving precise trajectory tracking for bio-inspired underwater vehicles. Xia’s major contributions include the propulsion curve analysis of three-degree-of-freedom (3DOF) biomimetic pectoral fins to minimize drag during the recovery stroke, and the integration of attention-based deep neural networks with nonlinear model predictive control for accurate motion control. His studies on burst-and-coast swimming behavior and the synergistic control of fins-body coupling (BCF/MPF hybrid propulsion) have advanced the understanding of efficient, stable swimming in robotic fish. With over 47 citations across his most-cited works, Xia’s research has been published in leading journals and conferences, including his 2024 paper on propulsion optimization (15 citations) and his 2025 work on trajectory tracking (6 citations). His notable achievements include developing a data-driven hydrodynamic identification model and a kinematic model for turning maneuvers, laying the groundwork for agile, energy-efficient autonomous underwater vehicles.
Research Focus
Key Achievements
Top Papers
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- 7Study on turning mechanism of robotic fish with given radius3 citations · 2025
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