Abstract
Corporate Industries apply new technologies for manufacturing and production applications. This makes the process depend upon multiple computers, robotic applications, and varying specifications, which reduces efficiency and speed. These technological challenges are incredibly diverse since an extensive range of processing technologies is available. When it comes to human-centered automation, it’s all about the scientific knowledge and data encapsulation for robots to interact within this field. 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.
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