Apnan Juanda

Papers

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About

Apnan Juanda is a researcher advancing the field of indoor localization and visible light communication (VLC). His work focuses on developing precise positioning systems for autonomous mobile robots, addressing a critical challenge in industrial automation: enabling robots to accurately determine their location within indoor environments. His most-cited paper, "Indoor Positioning System Infrastructure Based on Triangulation Method through Visible Light Communication" (2022), proposes a novel approach that leverages LED-based VLC and triangulation algorithms to overcome the limitations of traditional positioning methods. By using light as a medium for both illumination and data transmission, Juanda’s system offers a cost-effective, high-accuracy solution for robot navigation. This work has garnered 4 citations, reflecting its relevance to the growing field of smart infrastructure and Industry 4.0. Juanda’s contributions are particularly notable for their practical application in industrial settings, where reliable indoor positioning is essential for autonomous operations. His research continues to bridge the gap between communication technology and robotics, promising safer and more efficient automated systems.