Yingzheng Qu
Papers
1
Total Citations
6
H-Index
1
About
Yingzheng Qu is a researcher specializing in bio-inspired robotics, with a particular focus on the modeling and control of robotic fish. Their key research areas include system identification, aquatic locomotion dynamics, and motion control for fin-driven underwater robots. Qu’s major contribution lies in developing experimental modeling methods to overcome the challenges of dynamic modeling in complex aquatic environments. Their most-cited work, “Model identification for the yaw motion of a tail-actuated robotic fish” (2016, 6 citations), proposes a practical approach to accurately model yaw motion—a fundamental step for precise maneuvering. This work addresses the difficulty of modeling fin-driven structures, which are inherently nonlinear and influenced by fluid dynamics. While their citation count is modest, Qu’s research provides a foundational framework for improving the controllability and autonomy of robotic fish, with potential applications in environmental monitoring and underwater exploration. Their work is notable for bridging the gap between theoretical modeling and real-world robotic performance, making it a valuable reference for students and researchers in marine robotics and bio-inspired engineering.
Research Focus
Key Achievements
Top Papers
- 1Model identification for the yaw motion of a tail-actuated robotic fish6 citations · 2016