Digital twin technology is a virtual representation or a digital copy of an object, person, process, system, device, or location, and its fundamental architecture is made up of a variety of sensors and measurement technologies, IoT, and AI. The objectives of digital twin technology are to create a digital twin of an articulated robot that will co-exist and replicate its physical counterpart, and to design a digital twin ecosystem using IoT, CAD Modelling, data acquisition, and processing. The manufacturing industry is plagued by several challenges that hinder its efficiency and productivity. One of the most significant problems is the lack of visibility, which makes it difficult to detect issues in real time and results in a waste of resources, time, and money. Additionally, high costs are associated with developing prototypes and running physical tests, which often led to costly mistakes. Digital twin technology has revolutionized the manufacturing industry by providing solutions to the challenges that existed before its development. It provides a virtual platform for testing and optimizing products before they are manufactured, reducing the risk of errors and saving time and resources. It also allows for simulations to be run, enabling manufacturers to optimize their processes and adapt quickly to changes in the market. These benefits have the potential to transform the manufacturing industry, making it more efficient, productive, and competitive in the market. Therefore, in this work, an attempt is made to develop and implement a digital twin of an articulated robotic arm.
