Linhan Zhang

Papers

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About

Linhan Zhang is a leading researcher in mobile robotics and indoor positioning systems, with a focus on cost-effective, infrastructure-light navigation solutions. Their most influential work, "A robust mobile robot indoor positioning system based on Wi-Fi" (2020, 34 citations), tackles a critical challenge in robotics: the high cost and hardware complexity of traditional indoor positioning systems that rely on infrared sensors or cameras. Zhang proposed a novel Wi-Fi-based approach that leverages existing wireless networks to achieve robust, real-time localization without specialized equipment—a breakthrough that significantly lowers deployment barriers for autonomous robots in warehouses, hospitals, and smart factories. This work has been widely cited by researchers developing scalable indoor navigation technologies. Beyond this flagship paper, Zhang’s research spans sensor fusion, machine learning for localization, and adaptive robot control, consistently emphasizing practical, deployable solutions. Their contributions have helped democratize mobile robotics by reducing reliance on expensive infrastructure, making autonomous navigation more accessible for real-world applications. Zhang continues to push the boundaries of low-cost, high-accuracy positioning systems, shaping the future of intelligent mobile robots.