Abstract
Retail stores are a promising application domain for autonomous robotics. Unlike other domains, such as households, the environments are more structured, products are designed to be easily recognizable, and items are consciously placed to facilitate their detection and manipulation. In this chapter we exploit these properties and propose a mobile robot systems that can be deployed in drugstores and autonomously acquire a semantic digital twin model of the store. This facilitates autonomous robot fetch and place and shopping in a virtual replica of the store. The potential commercial impact is substantial because in the retail business stores are an information blackbox and being able to automate inventory on a regular basis could improve the knowledge of retailers about their business drastically.
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Beetz, M. et al. (2022). Robots Collecting Data: Modelling Stores. In: Villani, L., Natale, C., Beetz, M., Siciliano, B. (eds) Robotics for Intralogistics in Supermarkets and Retail Stores. Springer Tracts in Advanced Robotics, vol 148. Springer, Cham. https://doi.org/10.1007/978-3-031-06078-6_2
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