Xiongfeng Yi

Papers

Total Citations

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About

Xiongfeng Yi is a leading researcher in bio-inspired robotics and intelligent control systems, with a focus on developing advanced locomotion and navigation strategies for robotic fish. His major contributions lie in the design and control of hybrid-tailed robotic fish that integrate solid actuators, such as servo motors, with soft actuators like ionic polymer-metal composites (IPMCs). This dual-actuator approach enables more natural, efficient, and agile swimming motions, addressing critical challenges in underwater robotics. Yi’s work on cooperative collision avoidance control is particularly notable; his 2021 paper on this topic, which has garnered 36 citations, introduces a novel strategy that accounts for the back-relaxation effect of IPMCs, enhancing real-time maneuverability in multi-robot systems. His 2019 study on cooperative optimal collision avoidance laws for hybrid-tailed robotic fish, with 25 citations, further solidifies his impact in swarm robotics and autonomous underwater vehicles. Yi’s research not only advances the theoretical understanding of soft-rigid hybrid actuation but also has practical implications for environmental monitoring, underwater exploration, and pipeline inspection, as evidenced by his 2021 work on robotics-assisted smart-touch inspection. His innovative integration of soft robotics and control theory continues to inspire new generations of underwater robotic systems.