Papers
35
Total Citations
602
H-Index
15
About
Guang Pan is a leading researcher in bioinspired underwater robotics and biomechanical fluid dynamics, with a particular focus on ray-inspired robotic systems. His work sits at the compelling intersection of biology, robotics, and hydrodynamics, where he has made significant contributions to the design, control, and performance optimization of bionic underwater vehicles. Pan's most influential research centers on manta ray and cownose ray robotic platforms, exploring how biological locomotion strategies can be translated into highly maneuverable, efficient underwater robots. His 2022 paper introducing an integrated gliding and flapping manta ray robot (52 citations) and his CPG-fuzzy control framework for cownose-ray-inspired fish robots (51 citations) exemplify his ability to bridge theoretical biology with practical engineering solutions. His investigations into nonsinusoidal pitching foils and asymmetric pectoral fin dynamics have further advanced understanding of thrust generation mechanisms in bio-inspired propulsion systems. Beyond hardware design, Pan has explored intelligent control strategies, acoustic-vibration modeling through deep learning, and rigorous similarity evaluation methods to ensure authentic biomimicry. With over 350 cumulative citations across his most-cited works alone, his research has meaningfully shaped the trajectory of next-generation autonomous underwater vehicles.
Research Focus
Key Achievements
Top Papers
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- 2CPG-fuzzy-based control of a cownose-ray-like fish robot51 citations · 2019
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- 6Course Control of a Manta Robot Based on Amplitude and Phase Differences32 citations · 2022
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