Papers
1
Total Citations
8
H-Index
1
About
Yi Ru is a researcher whose work lies at the intersection of robotics, biomimetics, and intelligent control systems. Her primary research focuses on developing biologically inspired algorithms for motion control in robotic systems, with a particular emphasis on multi-joint robotic fish. In her most cited work, "Motion Control of a multi-joint robotic fish based on biomimetic learning" (2014, 8 citations), Ru introduced a novel approach using a general internal model (GIM) to enable robots to learn coordinated locomotion directly from observing live fish. This method stands out for its scalability, allowing learned behaviors to be transferred across different robotic platforms without extensive reprogramming. Ru’s contributions are significant in advancing the field of bio-inspired robotics, offering a pathway toward more adaptive and autonomous underwater vehicles. Her work demonstrates a unique blend of computational modeling and practical engineering, providing a foundation for future research in robotic learning and control.
Research Focus
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Top Papers
- 1