Linyue Tan

Papers

Total Citations

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About

Linyue Tan is a researcher whose work bridges robotics and computational neuroscience, with a focus on biologically inspired navigation and localization systems. Her most notable contribution, "Biologically Inspired KFLANN Place Fields for Robot Localization" (2006), introduces a hippocampal-inspired model that enables simple robotic platforms equipped with ultrasonic sensors to achieve self-localization. This work draws on neurobiological findings of hippocampal cell activations in rats, translating these biological mechanisms into practical algorithms for autonomous systems. While her citation count remains modest, Tan's research represents an early and innovative effort to integrate principles of spatial cognition from neuroscience into robotics, offering a foundation for further exploration in bio-inspired navigation. Her work is particularly relevant for students and researchers interested in the intersection of neural computation, robotics, and autonomous systems, demonstrating how insights from animal behavior can inform the design of more adaptive and efficient robotic localization methods.