Haining Zeng

Papers

Total Citations

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About

Haining Zeng is a leading researcher in bio-inspired robotics, with a primary focus on the design and control of robotic fish and the development of artificial lateral line systems. Their work bridges biomechanics and sensor optimization to achieve high-efficiency underwater propulsion. Zeng’s most significant contribution is the invention of a stiffness adjustment mechanism that harnesses negative work—a concept inspired by biological muscle-tendon dynamics—to dramatically improve the propulsive efficiency of robotic fish. This innovation, detailed in their 2018 paper (23 citations), offers a new paradigm for energy-saving autonomous underwater vehicles. Concurrently, Zeng has advanced artificial lateral line technology by developing a sensor placement optimization method that uses optimal weight analysis combined with feature distance and variance evaluation (2018, 23 citations). This technique enhances the perception and flow-sensing capabilities of underwater robots, enabling more precise navigation and environmental interaction. With both key papers accumulating over 20 citations each, Zeng’s work is recognized for its practical impact on the next generation of agile, efficient, and perceptive aquatic robots, making them a notable figure in the field of soft and bio-inspired robotics.