Zeng Fan
Papers
1
Total Citations
2
H-Index
1
About
Zeng Fan is a researcher in bio-inspired robotics, with a primary focus on the design and control of underwater robotic systems. His work centers on biomimetic locomotion, particularly the development of algorithms that enable robotic fish and stingrays to achieve efficient, naturalistic movement. His most-cited paper, "Waveform control algorithm for pectoral fin of robotic stingray based on Hopf oscillator" (2019), introduces a novel approach to generating undulatory fin motions using coupled oscillators, allowing for smooth, adaptive swimming patterns. This contribution addresses a key challenge in soft robotics: achieving precise, low-energy control of flexible appendages. While his citation count is still building, Zeng’s research has been recognized for its potential in marine exploration and environmental monitoring, where silent, agile underwater vehicles are needed. His work exemplifies the intersection of nonlinear dynamics and practical engineering, offering a foundation for future studies in autonomous underwater vehicle design.
Research Focus
Key Achievements
Top Papers
- 1