Machine Failure can lead to the whole factory being shut down, thus resulting in a loss of production that can cause a business to lose million per day. Component failures can cause devastation to not only factories but also power plants and battlefield equipment. The only way to return to operation after such failure is through skilled technicians who try to make things right as quickly and accurately as possible. But there is a rising decline in the number of technicians with a high degree of skill, and the quality of things made via hand is subjective of human error, which may be caused by something as little as the mood of the artisan.
There is a possibility that soon, both of these problems would be solved with the help of artificially intelligent robotic machines. As stated by the researchers, the system would have the capability of taking measurements while also knowing how to shape, cut, or weld parts using an arena of tools. In addition, they’ll be able to pass parts to specialized equipment and buy required items for the factory without any need for human intervention. The new process, referred to as hybrid autonomous manufacturing, is a ground-breaking advancement for Industrial Robotics Market as now robots will seamlessly use different tools and techniques to build high-quality components whenever they are needed; thus, helping factories cut their losses and even be more efficient.
The aim of the research team is to develop an automated suite of tools that would carry all the steps for building different sorts of components by going through various processes. Moreover, sensors would be a critical part of autonomous manufacturing and would be responsible for maintaining and assuring quality. The systems would make myriad decisions on a daily basis resulting in the creation of components that are right in strength, size as well as surface finish.
The team stated that artificial intelligence would be used for handling all the wide range of choices of machine settings, process, sequenced, and materials. Further, instead of finding a mass-producing process, the systems would make use of all large sets of possible recipes to create parts. They will be equipped with enough intelligence to know which path would produce the best components.
Since robots can work 24/5, they will surely be more productive than human technicians. Thus, the systems proposed by the research team would eliminate the need for high-grade technicians solving a huge problem for factories experiencing machine malfunction with no people to mend the parts or create new ones.
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