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About

Qingsong Hu is a pioneer in biomimetic robotics, with a focus on developing energy-efficient, biologically inspired underwater vehicles. His research centers on the modeling and control of robotic fish, particularly those propelled by ionic polymer-metal composites (IPMCs), a class of smart materials that mimic natural muscle movement. Hu’s major contributions include a novel framework for computing steady turning motions in robotic fish, which accounts for periodic body and tail deformation to determine turning radius and angular velocity—a foundational step for agile underwater navigation. He also developed an energy consumption model for IPMC-propelled robots, enabling energy-saving control strategies that extend cruising time, a critical factor for autonomous ocean monitoring. With over 20 citations across his most-cited works, Hu’s impact is evident in advancing both the theoretical and practical aspects of robotic fish design. Notably, he has explored applying these robots to environmental supervision, such as monitoring seawater pollution around ocean petroleum exploration platforms, demonstrating the real-world utility of his research in protecting marine ecosystems.