Abstract

Abstract The paper Cyber Physical Systems integrated in VIPRO- Platform through intelligent control interfaces and genetic algorithms to build “digital-twins” robots vectors tools for cyber-physical manufacturing presents. Intelligent control interfaces are useful for simulating robots vectors’ capabilities in a safe and cost-effective way, but it is challenging to accurately emulate the behavior of the physical tools. When an unmanned autonomous vehicles breaks down or malfunctions, engineers can always go back to check the digital traces using the “digital-twins” VIPRO- Platform for diagnosis and prognosis. This paper presents an integration of Cyber Physical Systems using intelligent control interfaces and genetic algorithms into developing “digital-twins” VIPRO- Platform in 5G Digital era to improve their accountability and capabilities for cyber-physical manufacturing. The intelligent control interfaces data are used to extract the machining characteristics profiles of a digital-twins machine tool, with which the tool can better reflect the actual status of its physical counterpart in its various applications. The modelling techniques and decision making in complex systems for controlling the position of a unmanned autonomous vehicles engaged in a mission are discussed, and analytical techniques of data and genetic algorithms are presented for modeling and developing “digital-twins ”VIPRO- Platform.

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