Papers
13
Total Citations
192
H-Index
7
About
Xuelei Niu is a leading researcher in biomimetic robotics, with a primary focus on developing and controlling robotic fish that replicate the locomotion of real aquatic species. His major contributions center on the use of Central Pattern Generators (CPGs) and biomimetic learning to generate and optimize swimming gaits for both anguilliform (eel-like) and carangiform (tuna-like) robotic fish. Notably, his 2013 paper on CPG-based locomotion learning has garnered 58 citations, establishing a foundational approach for adaptive, rhythmic motion in multi-joint robots. Niu has also advanced the field by designing motion libraries and applying sliding mode control to enhance robustness against parameter uncertainties and external disturbances, as seen in his work from 2011 and 2012. Beyond aquatic robots, he has contributed to the mechanical development and control of a miniature nonholonomic spherical rolling robot, demonstrating versatility in robotic design. With over a decade of work, Niu’s research bridges biological inspiration and engineering control, offering practical pathways for autonomous underwater vehicles. His achievements include pioneering analytical control designs for biomimetic systems, making his work essential reading for students and researchers in robotics, control theory, and bio-inspired engineering.
Research Focus
Key Achievements
Top Papers
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- 5Modeling, Control and Locomotion Planning of an Anguilliform Robotic Fish13 citations · 2014
- 6Analytical control design for a biomimetic robotic fish12 citations · 2011
- 7Generation of robotic fish locomotion through biomimetic learning8 citations · 2012
- 8Sliding mode control design for a carangiform robotic fish7 citations · 2012
- 9Mimicry of fish swimming patterns in a robotic fish6 citations · 2012
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