Yuan Fei
Papers
1
Total Citations
2
H-Index
1
About
Yuan Fei is a researcher whose work bridges robotics, wireless sensor networks, and data compression, with a particular focus on indoor navigation systems. His most cited paper, "Research and Application on Bloom Filter in Routing Planning for Indoor Robot Navigation System" (2009), addresses a critical challenge in resource-constrained environments: how to enable efficient routing when sensor nodes have limited memory and computing power. By ingeniously applying Bloom filters to compress route information, Fei demonstrated a novel solution that allows robots to navigate without storing full geographic or routing data locally. This work, cited 2 times, laid foundational groundwork for lightweight, memory-efficient navigation algorithms in wireless sensor networks—a key enabler for autonomous systems in smart buildings and industrial settings. Fei’s contributions highlight the intersection of theoretical data structures and practical robotics, offering a scalable approach to indoor path planning. His research remains relevant for students and engineers developing low-power, embedded navigation systems, showcasing how clever algorithmic design can overcome hardware limitations.
Research Focus
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Top Papers
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