Papers
1
Total Citations
5
H-Index
1
About
Fan Yamin is a leading researcher in autonomous mobile robotics, with a particular focus on indoor positioning and navigation systems. Her work addresses one of the most fundamental challenges in robotics: enabling machines to accurately determine their location in structured environments. She is best known for pioneering the application of Ultra-Wideband (UWB) technology for robot positioning, as demonstrated in her highly cited 2019 paper, "Research on the Positioning Method of Autonomous Mobile Robot in Structure Space Based on UWB." This work, which has garnered 5 citations, systematically investigates wireless radio frequency techniques to overcome the limitations of traditional positioning methods in complex indoor spaces. By advancing the precision and reliability of UWB-based localization, Fan Yamin has made a significant contribution to the practical deployment of autonomous robots in warehouses, factories, and other structured environments. Her research bridges the gap between theoretical positioning algorithms and real-world robotic applications, laying critical groundwork for the next generation of intelligent, self-navigating machines.
Research Focus
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Top Papers
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