Papers
18
Total Citations
362
H-Index
9
About
Fengran Xie is a leading researcher in biomimetic robotics, specializing in the design and control of robotic fish that replicate the complex swimming mechanics of real aquatic life. His work centers on central pattern generator (CPG) control systems, enabling multimodal swimming, obstacle avoidance, and direction tracking in untethered robots. Xie’s major contributions include pioneering the use of actively deformable caudal fins, which significantly improve thrust, stability, and maneuverability—a feature rarely achieved in man-made systems. His highly cited papers, such as “Central Pattern Generator (CPG) Control of a Biomimetic Robot Fish for Multimodal Swimming” (74 citations) and “An Experimental Study on the Fish Body Flapping Patterns” (68 citations), have shaped the field. He has also authored a comprehensive review on BCF swimming locomotion (65 citations) and explored non-uniform stiffness effects on propulsion. Notably, Xie’s work on rigid-soft coupling and coordination between fins has advanced yaw stability and thrust generation. With over 300 total citations, his research bridges biology and engineering, offering practical insights for designing agile, efficient underwater robots.
Research Focus
Key Achievements
Top Papers
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- 5A Novel Untethered Robotic Fish with an Actively Deformable Caudal Fin17 citations · 2023
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