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About

Linyi Huang is a researcher specializing in indoor localization, robotics navigation, and sensor fusion, with a particular focus on visible light positioning (VLP) as a transformative technology for precise indoor positioning. His work addresses fundamental challenges in robotics — accurate, reliable, and cost-effective indoor localization — by leveraging existing lighting infrastructure rather than requiring costly dedicated hardware. Huang's most impactful contributions involve fusing VLP with complementary sensing modalities. His 2021 papers integrating VLP with SLAM and inertial measurement units (each garnering over 60 citations) demonstrated robust solutions that overcome VLP's traditional limitations, such as line-of-sight constraints and dense LED requirements. He extended this work to multi-robot systems, developing cooperative localization frameworks that improve accuracy and resilience through inter-robot data sharing. His 2022 work incorporating LiDAR fusion achieved centimeter-level positioning accuracy of just 2.5 cm, pushing the boundaries of what indoor navigation systems can achieve. With over 185 cumulative citations across his published works, Huang has established himself as an emerging authority in robot localization. His research offers meaningful practical implications for location-based services, autonomous robotics, and smart building technologies, making him a notable voice in the indoor positioning and intelligent systems community.