Abstract
The artificial intelligence of the robot is the digital double of intelligence of the person capable to training, retraining, self-realization and development of professional and behavioural creative innovative competences and skills. The robot represents a technological and program cognitive complex. The realization of artificial intelligence the robot is enabled on the basis of criterion of preferences of improvement of functional activity by realization of actions of function of usefulness and high-quality selection of extensive statistics of the accumulated professional and behavioural creative innovative competences and skills of the person. Transdectoral digital studies of human, nature, society and production communication enable the creation of digital twins of social services and production of products and the technological process of equipment operation. Digital dupes related to the service sector or production are created for intelligent process and equipment management. Intelligent production management with a digital twin optimizes its operation, increases productivity and competitiveness of products according to quality and price. Human digital twins provide services in the social sphere and in space. Training of digital twins in professional competences is carried out on the basis of communicative associative logic of technological thinking by cognitive methods. Cognitive psychology experts investigating the effectiveness of machine learning techniques offer a new approach that allows artificial intelligence and cognitive psychology to be combined. This approach provides pre-preparation of neural networks from accumulated data using existing behaviors. The approach combines existing scientific theories of human behavior with the flexibility of neural networks to make better decisions made by humans in space and in extreme situations. From a practical point of view, this makes it possible to more accurately determine the behavior of a human digital twin in space and in extreme situations. The spectroscopic sight of the robot perceives objects and objects of their range of frequencies. For training of the robot in recognition of objects and objects the frequency spectral technology of machine learning is used. The spectroscopic sight perceives a range of radiations of objects, and the artificial trained neural network distinguishes them on a range.
Highlights
Robots can solve a set of various practical problems
The development of AI and machine learning technologies and their application in robotics is a prerequisite for the creation of really useful and smart robots
The smart cognitive architecture of the robot develops its artificial intelligence by machine retraining, on the basis of extensive statistics of the creative innovative competences and of base of abilities of the corresponding professional and behavioural skills accumulated in the knowledge base
Summary
Robots can solve a set of various practical problems. The medicine, bank service, the industry, education, hotel business and even entertainments are the main scopes of robots. Astronauts robots are actively used by the person in development of open spaces of the Universe. With the advent of artificial neural networks in the modern world robots learned to create. The development of AI and machine learning technologies and their application in robotics is a prerequisite for the creation of really useful and smart robots. Statistical methods and machine learning, including artificial neural networks of deep learning, have had a huge impact on modern robotics. An example of successful implementation of social interaction technologies is voice assistants and chat bots Robots can already both record human movement skills and copy them. In article approach to creation of robots with spectroscopic sight and artificial intelligence, capable to work at the market of hi-tech work briefly is considered
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