Intelligent cognitive control of robotic sociotechnical systems PT 3: quantum end-to-end IT in strong XAI for the project “Industry 5.0” applications

Автор: Kapkov R.Yu., Tyatyushkina O.Yu., Ulyanov S.V.

Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse

Статья в выпуске: 2, 2024 года.

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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 Engineering) 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 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.

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Industrial robotic sociotechnical systems, industry 5.0 project, quantum end - to - end it, quantum software engineering, advanced educational process, non-conventional logic of it specialist's education

Короткий адрес: https://sciup.org/14131165

IDR: 14131165

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