Ningning Hou
Papers
1
Total Citations
4
H-Index
1
About
Ningning Hou is a researcher specializing in the intersection of robotics, control systems, and bio-inspired engineering, with a particular focus on underwater robotic platforms. Her most-cited work introduces a novel data-assisted dynamic model for robotic fish, addressing critical challenges in biomimetic locomotion. She developed a discrete-time sliding mode steering controller that effectively manages complex interferences, including frequency nonlinearity and angular speed delay—issues that have historically limited the maneuverability of robotic fish. This contribution, published in 2018, has garnered 4 citations and represents a significant step toward more agile and reliable autonomous underwater vehicles. Hou’s research bridges theoretical control design with practical implementation, offering solutions that enhance the stability and precision of bio-inspired robots in real-world aquatic environments. Her work is particularly valuable for students and researchers in robotics, nonlinear control, and marine engineering, as it demonstrates how data-assisted modeling can overcome the limitations of traditional dynamic approaches. Through her innovative controller design, Hou is helping to advance the next generation of underwater robots capable of complex steering and navigation tasks.
Research Focus
Key Achievements
Top Papers
- 1