Papers
3
Total Citations
22
H-Index
3
About
Yikun Feng is a rising researcher in the field of biomimetic underwater robotics, with a focus on bio-inspired propulsion and maneuvering mechanisms. His work centers on understanding and numerically simulating the swimming performances of robotic fish that emulate the labriform and undulating fin modes found in nature. Feng’s major contributions include developing advanced numerical simulation systems that couple body dynamics with fluid dynamics, enabling detailed studies of self-propelled swimming, acceleration, and cruising processes. His research has elucidated the distinct thrust generation mechanisms of drag-based and lift-based fin motions in labriform mode, and has explored how different fin waveforms affect performance. With his most-cited paper garnering 10 citations, Feng’s work is gaining recognition for its potential to enhance the maneuverability of unmanned underwater vehicles. His 2025 study on turn maneuvering in labriform-mode robotic fish addresses a critical gap in understanding the superior agility of median and paired fin swimmers, offering valuable insights for future vehicle design.
Research Focus
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