Baden Parr

Papers

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About

Baden Parr is a researcher in robotics and indoor positioning systems, with a focus on leveraging visible light communication (VLC) for practical, low-cost navigation solutions. His key contributions center on developing hybrid visible light positioning (HVLP) techniques that enable mobile robots to localize accurately using existing LED lighting infrastructure. His most cited work, "HVLP: Hybrid visible light positioning of a mobile robot" (2017), demonstrates how minor modifications to luminaire drivers can transform commonplace energy-efficient LEDs into a functional indoor positioning system, eliminating the need for expensive dedicated hardware. This paper has garnered 6 citations, establishing a foundation for cost-effective, infrastructure-light robotic navigation. Parr's research bridges the gap between theoretical VLC advancements and real-world deployment, addressing challenges like signal interference and multipath effects in dynamic environments. His work is particularly notable for its emphasis on hybrid approaches that combine visible light with other sensing modalities to improve robustness. For students and researchers exploring indoor localization, Parr's contributions offer a compelling example of how repurposing everyday technology can yield innovative solutions for autonomous systems.