Papers

5

Total Citations

58

H-Index

4

About

Zuo Cui is a researcher whose work bridges bio-inspired robotics and fluid dynamics, with a primary focus on understanding and replicating the efficient locomotion of fish. His key research areas include the biomechanics of carangiform and BCF (body and/or caudal fin) swimming, variable stiffness mechanisms for robotic fish, and the design of compliant, high-performance underwater robots. Cui’s major contributions lie in modeling how fish use body stiffness and undulatory waveforms to achieve fast, efficient propulsion. Notably, his most-cited paper (32 citations) uses complex orthogonal decomposition to analyze how travelling and standing wave components affect swimming performance, offering a novel framework for robotic design. He has also pioneered variable stiffness mechanisms—such as redundantly actuated parallel systems—that allow robots to dynamically tune their body rigidity, mimicking fish muscle control. His work on a planar serial–parallel compliant robotic fish (7 citations) and bio-inspired stiffness profiles for *Tinca tinca* (6 citations) demonstrates a systematic approach to translating biological principles into engineering. Through these studies, Cui has advanced the understanding of how mechanical impedance and vortex control govern fish locomotion, laying groundwork for more agile and efficient autonomous underwater vehicles.

Research Focus

Key Achievements

4
H-Index
5
Papers
58
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
CFD Studies of the Effects of Waveform on Swimming Performance of Carangiform Fish
32 citations · 2017
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Harbin Institute of Technology, University of Minnesota

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago