Abstract
The paper highlights general approach to creating cognitive adaptive robots with imitative thinking and adaptive behavior as an assistant to humans in various fields of activity. Communicative-associative symbolic-language thinking logic allows the creation of cognitive adaptive robots for different spheres of life. Specialization of cognitive adaptive robots is carried out on the basis of knowledge bases, bases of abilities and implementers of behavior. Adaptive behavior is guided by imitative thinking on a human task and is carried out by models of environment and behavior. Specialization of the robot is set by the subject knowledge base and base of abilities, and equipment (sensors, sensors, manipulators, motor systems and other devices). For collaborative robotics, you need a soft, sensitive, and naturally highly intelligent solution. The focus here is on pneumatic light robots, which are inherently designed to work together and can present a cost-effective alternative to humans in the future. The cognitive robot, by increasing visual, sound, substantive, spatial and temporal sensitivity, is able to acquire new skills and accumulate experience of behavior with the necessary technical means. New skills are taught by a retraining system in virtual space, and then the robot develops them in a specific environment. Thus, the professional experience of the cognitive robot in various specific environments is gradually accumulated and its sensitivity is increased. Cognitive adaptive retractable robots with imitative thinking, adaptive behavior, and increased sensitivity have the prospect of widespread practical application.
Highlights
Robots can solve many different practical problems
Cybernetic techniques, and artificial intelligence enable the creation of cognitive robots with adaptive behavior based on imitative thinking with professional diversification and mobility
The international scientific engineering community is gradually moving towards the technical implementation of a cognitive professional sensitive safe robot with qualification retraining
Summary
Robots can solve many different practical problems. Medicine, banking, industry, education, hotel business and even entertainment are the main applications of robots. Robots for high-tech work are emerging, which is on the teeth of artificial intelligence. With the advent of artificial neural networks in the modern world, robots have learned to create. Man is trying to create, for his robots, artificial intelligence. The development of artificial intelligence 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. Increase social interaction between humans and robots in everyday and working life is the subject of numerous studies, some of which have become the basis of as many billions of industries. 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. The paper briefly discusses the approach to creating retractable cognitive sensitive robots capable of working in the high-tech labor market
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