RESEARCH ON CREATING A WIRELESS MACHINE CONTROL SYSTEM THROUGH ROBOTIZATION AND AUTOMATION OF TECHNOLOGICAL PROCESSES
Keywords:Artificial intelligence, robotic process automation, machine learning in a technological system,robotic machine mechanism
The evolution of the smartest technology in recent years in robotization and automation of technological processes is rapidly developing in the Republic of Uzbekistan. This is software works on the scheme installed in the system. In the automation of robotization processes, the technological process can be carried out in a clearly defined form and in the scheme of the technological system environment with precision with established procedures and references this system is used to make decisions. The limitation of the automated system of robotization processes is that it is not possible to study the problems that arise on the basis of technical errors in the scheme of the technological system. If it involves decision-making supported by knowledge-based software, the automated system design will continue to accept technical variable values over time. High level and interconnected supply chains are now faced with producers reducing production and in the production activity, the task of increasing the complexity of the product is considered. Therefore, it is necessary to study the need to change and adapt at all stages of value formation we need to consider the implementation processes as soon as possible. The theory of self-technological optimization is a positive method and system dealing with supply uncertainty and unexpected delays including circuits, devices and processes. It also increases production efficiency and system increases the stability and productivity of networks. This article is about automation processes in a robotic system in technological processes Self-optimized development processes are cited as research. Used for examples in both stages and demonstrate and explain the principle of self-optimization several technological parameters, such as simplicity and efficiency improvement, are considered. We proposed a new approach and robotization with increased productivity to automate processes and we compared data obtained based on several research processes and results to improve product quality with the help of machine learning. In technological process control, machine intelligence is something created by programming computers with certain aspects of the human mind, such as learning, we can understand it as a program resulting from the sum of several ways of solving problems and setting priorities. The machine can solve a number of complex problems using these capabilities. Growth and fast the development of digital technologies and artificial intelligence technologies is becoming more and more difficult. Now, sophisticated manufacturing, the world of inventions and widespread adoption is undergoing a rapid transition. There are many robotics and it is more vital because it can now be related to the human brain through the connection between the machine and the brain, as artificial intelligence develops. This the world economy is facing serious challenges by increasing productivity in the manufacturing industry. This research we tried to study the current development of robotic communication methods of artificial intelligence. In many special applications, communication between robot team members or even humans becomes vital.
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