Semantic Digital Twins for Omni-Channel Localisation

Indoor localization in complex environments is essential for omni-channel applications in retail, healthcare, and logistics. This paper presents a solution combining robotic mapping to create semantic digital twins, QR codes for position encoding, and mobile apps for accurate, user-friendly localization. Semantic digital twins, enriched with spatial context, dynamically represent physical spaces. A QR code links mobile apps with these digital representations. The system aligns multi-application localization to a unified coordinate frame, validated in retail and residential settings. It addresses dynamic map updates and user-centric navigation, advancing semantic digital twins for broader applications.