Papers
1
Total Citations
4
H-Index
1
About
Wen Fang is a robotics researcher specializing in the control and navigation of mobile robots operating in challenging, confined environments. Her primary research areas include path-following control, autonomous navigation, and the application of advanced control algorithms to specialized inspection robots. Fang’s most notable contribution is her work on underground cable trench inspection robots, where she addresses the critical problem of trajectory deviation in narrow, complex spaces with variable friction. In her highly cited 2024 paper, she introduced a novel Self-Coupling PD Algorithm to enhance path-following accuracy, preventing potentially costly collisions that could damage both the robot and critical cable infrastructure. This work, which has already garnered 4 citations shortly after publication, demonstrates her ability to solve real-world industrial challenges through innovative control theory. Fang’s research is particularly impactful for the maintenance and safety of underground power grids, offering practical solutions for robots operating in hazardous, hard-to-reach environments. Her achievements highlight a promising career at the intersection of control engineering and field robotics.
Research Focus
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Top Papers
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