Papers
2
Total Citations
12
H-Index
2
About
Yu-Yi Fu’s research centers on the control and motion planning of omni-directional mobile robots, with a particular focus on achieving time-optimal performance. His major contributions lie in developing novel computational approaches to solve complex control problems that are traditionally tackled with analytical methods like Pontryagin’s Minimum Principle. In his most cited work (2008, 9 citations), Fu introduced an iterative nonlinear programming method to transform the time-optimal control problem of a three-wheeled omni-directional robot into a tractable numerical optimization, offering a practical alternative for real-world implementation. He further advanced this line of inquiry with a time-scaling method (2008, 3 citations) that enables near-time-optimal control along specified paths, demonstrating his ability to refine and extend his initial framework. Though his citation counts are modest, Fu’s work is notable for bridging theoretical optimal control with practical robotics, providing engineers with accessible tools for high-performance robot navigation. His research is particularly valuable for applications requiring rapid, precise maneuvers in constrained environments, such as warehouse automation or service robotics.
Research Focus
Key Achievements
Top Papers
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