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Robots must operate in various ecosystems and interact closely with non-professional customers. Current technology is not well adapted to this scenario, requiring sustainable management separated from available technology. In this article, the human-centered Industrial Robot using Artificial Intelligence (AI-HCIR) is suggested as a tool to resolve such issues. Several manufacturing protocols are presented to efficiently produce products that simplify human work and involve different needs. The HCIR scrutinizes it for time allocation and manufacturing time allocation. For this, a suitable processing environment and a detailed simulation is conducted. The proposed AI-HCIR achieves a 33.68% error rate, 24% throughput, and 18.7% efficiency in the smart city environment. In contrast with conventional methods, the proposed method obtains a better result efficiently. <\/jats:p>","DOI":"10.1142\/s0219265921460014","type":"journal-article","created":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T02:14:47Z","timestamp":1638756887000},"source":"Crossref","is-referenced-by-count":3,"title":["Human-Centered Applications in Sustainable Smart City Development: A Qualitative Survey"],"prefix":"10.1142","volume":"22","author":[{"given":"Xu","family":"Wei","sequence":"first","affiliation":[{"name":"Department of Information Technology, Hubei University of Police, Wuhan 430034, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengyu","family":"Ruan","sequence":"additional","affiliation":[{"name":"Hubei Collaborative Innovation Center of Digital Forensics and Trusted Application, Wuhan 430034, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thanjai","family":"Vadivel","sequence":"additional","affiliation":[{"name":"Veltech University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. 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