Jiayong Chen

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About

Jiayong Chen is a pioneering researcher in the field of biomimetic robotics, with a primary focus on bioinspired control systems and robotic fish locomotion. His work centers on developing intelligent, closed-loop control strategies that enable underwater robots to navigate complex environments with unprecedented autonomy. Chen’s most influential contribution is his 2021 paper on “Bioinspired Closed-loop CPG-based Control of a Robot Fish for Obstacle Avoidance and Direction Tracking,” which has garnered 56 citations—a testament to its significance in advancing real-time adaptive swimming behaviors. In this work, he integrated Central Pattern Generator (CPG) models with sensory feedback, allowing robot fish to dynamically avoid obstacles and track directional changes, mimicking natural fish agility. His earlier research on obstacle avoidance strategies for biomimetic wire-driven robot fish laid the groundwork for these autonomous capabilities. Chen has also explored the yaw stability of bionic propulsion in flow fields, combining dynamic modeling with computational fluid dynamics to enhance maneuverability. His achievements are notable for bridging theoretical bioinspiration with practical robotic applications, making him a key figure in the evolution of autonomous underwater vehicles.