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About

Huifang Dong is a leading researcher in biomimetic robotics, with a primary focus on the motion control and coordination of bionic robotic fish. Her work centers on developing sophisticated locomotion controllers, particularly through the application of Central Pattern Generator (CPG) models, which enable robotic fish to generate diverse and adaptive swimming patterns. Dong’s major contributions include pioneering the integration of Particle Swarm Optimization (PSO) with CPG models to automatically tune the numerous parameters involved, a breakthrough that significantly enhances swimming efficiency and maneuverability. Her most cited work, "Motion Control and Motion Coordination of Bionic Robotic Fish: A Review" (2018), has garnered 134 citations, establishing her as a key voice in the field. She has also advanced trajectory tracking control using iterative learning methods, achieving precise movement in underwater environments. With a cumulative impact of over 235 citations across her top papers, Dong’s research is instrumental in pushing the boundaries of autonomous underwater vehicles, offering practical solutions for tasks like environmental monitoring and exploration.