Mechanisms of information exchange and knowledge transfer for interac-tion tasks in the hazard environment of autonomous intellegent robotic systems

Solving complex automation tasks in the Industry 4.0 project using several intelligent autonomous ro-botic systems, it becomes necessary to determine the mechanisms of information exchange and knowledge transfer from one robotic system to another (such as the master - slave system). There are many mechanisms of network interaction, each of them has its own strengths and weaknesses. During the development of intel-ligent robotic systems at the testing ground at the JINR Information Technology Laboratory (MLIT), several basic interaction tasks were identified that require the choice of special mechanisms and protocols for data and knowledge transmission. The article discusses the main mech-anisms of information exchange, describes the main advantages and disadvantages. The tasks requiring the choice of an interaction mechanism are presented, and the results of solving these tasks are also presented.