Synergy of industrial robotics and information and communication technologies

Purpose : is to prove the relationship and mutual influence between the diffusion of industrial robotics and digital technologies, their synergy. Methods: the paper uses modified models of innovations diffusion applied to describe the dynamics of robot density using the example of a number of countries (China, South Korea and Japan) taking into account the diffusion of advanced digital technologies (5G technologies, the Internet of Things, machine-to-machine interaction, cloud services, etc.) at enterprises. In addition, using regression dependencies, the influence of industrial robots spread in the electronics industry of these countries on the economic indicators of the industry is studied. Results: studying the development and implementation of digital technologies at enterprises in the model of diffusion of robot density for a number of countries gave a better approximation to the original data than the basic logistic model. The use of such a modified model made it possible to forecast the robot density in countries depending on the scenarios of digital technology diffusion. Using regression models, the effect of introducing industrial robots in semiconductors, sensors and communication equipment production was estimated using the example of Japan, which confirms the presence of synergy between advanced digital technologies and industrial robotics. Conclusions and Relevance: the results of the study confirm the presence of a large mutual influence, synergy of digital technologies and robotics. Advanced information and communication technologies increase the degree of robotization in developed countries, transfer human-robot interaction to a higher level, and open up new ways of using industrial robots in smart manufacturing. At the same time, the widespread use of industrial robotics in the electronics industry, in the production of communication equipment, semiconductors and printed circuit boards improves quality and efficiency, ensures the reliability and scalability of production.