Tingzhang Liu

Papers

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About

Tingzhang Liu is a researcher advancing the frontier of indoor robotic navigation through visible light communication (VLC). His work centers on harnessing LED-based VLC systems to achieve precise, real-time localization for mobile robots—a critical capability for autonomous navigation in GPS-denied environments. Liu’s key contribution lies in developing methods that integrate communication and positioning functions within existing lighting infrastructure, reducing reliance on costly sensors. His most-cited paper, "Indoor Localization System for Mobile Robot Based on Visible Light Communication" (2023), has garnered 2 citations, reflecting growing interest in this niche yet impactful field. By addressing challenges such as signal interference and accuracy in dynamic indoor settings, Liu’s research supports applications in warehouse logistics, healthcare robotics, and smart manufacturing. His work stands out for its practical focus on cost-effective, scalable solutions that bridge optical communication and robotics. As VLC technology gains traction for its immunity to radio-frequency interference, Liu’s contributions position him as a notable voice in the evolution of indoor positioning systems, offering a pathway toward more reliable and autonomous robotic operations.