Intelligent cognitive control of robotic sociotechnical systems Pt 2: nonlinear model generation of intelligent cognitive robotics for project “Industry 4.0”

The development of new types of intelligent cognitive robotics is discussed, taking into account the growing need for robots in industrial / non-industrial areas (especially for use in catastrophic situations such as industrial accidents or coronavirus) and the development of quantum end-to-end IT. The industrial revolution "Industry 4.0" and the third quantum revolution "Quantum Software Engineering" predetermined the development of a new direction - intelligent cognitive control of robotic sociotechnical systems. One of the main problems was the need to study the interaction of a human operator with a robot and redistribute areas of responsibility between robots in a team (crowd – swarm) of robots, a human operator and a robot, as well as identify the limiting capabilities of permissible performance (Affordance / Kansei / Kawaii Engi-neering) of robots in various problem-oriented areas. An analysis was made of the development of models of robotic sociotechnical systems and the construction of educational processes with non-standard logic for training new generation IT specialists [8,9] in the context of a rapid gap between educational processes and the requirements for basic knowledge in the field of end-to-end quantum IT. The methodology developed at MLIT JINR for the training of new generation IT specialists for managing physical experiments, quantum intelligent control of physical facilities in mega-science projects such as NICA, aerial manipulators and unmanned robots - drones for radiation control, etc. is presented.