The retail sector is experiencing transforming changes driven by service robots (SR). While SR promise
benefits such as improved inventory management, increased efficiency, and enhanced customer satisfaction,
their integration presents technical and societal challenges. Technical hurdles encompass image
classification under varying conditions, data security, localization, and obstacle detection. On the
societal front, concerns revolve around public perception, safety, and employee apprehension regarding
job security. This paper provides a comprehensive overview of these challenges and opportunities,
highlighting that while SR have considerable potential, their optimal utilization in retail may be best
suited for non-human facing tasks, given the current limitations of AI in human interactions.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:89675 |
| Date | 12 February 2024 |
| Creators | Horn, M., Zniva, R., Kranzer, S., Portenschlager, L., Schleifer, V., Neureiter, T., Nöbauer, J., Pankonin, P. |
| Contributors | Hochschule für Technik, Wirtschaft und Kultur Leipzig |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 978-3-910103-02-3, urn:nbn:de:bsz:l189-qucosa2-896465, qucosa:89646 |
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