With the acceleration of consumption upgrading and industrial intelligent transformation, commercial robots have widely penetrated various fields such as retail, warehousing, catering, healthcare, and hotels. Artificial intelligence (AI) technology is the core driving force enabling their leap from "automation" to "intelligence." This paper adopts a combination of literature analysis and case investigation to systematically review the current application status of AI in commercial robots, focusing on the technical implementation paths in five major scenarios: retail, warehousing, catering, healthcare, and hotels. Three innovative directions are proposed: multimodal interaction optimization, federated learning collaboration, and digital twin operation and maintenance. Targeted strategies are also provided to address practical issues such as data security, scenario adaptation, and insufficient robustness. The study shows that AI technology can significantly improve the operational efficiency and user experience of commercial robots, and related innovative solutions have been validated in real-world scenarios, providing theoretical support and practical reference for the large-scale deployment of the commercial robot industry.

Zirui Chen. Research on the Application of Artificial Intelligence in Commercial Robots. Academic Journal of Computing & Information Science (2025), Vol. 8, Issue 10: 23-29. https://doi.org/10.25236/AJCIS.2025.081004.

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