Collaboration Robots with Artificial Intelligence (AI) as Digital Doubles of Person for Communication in Public Life and Space

Evgeniy Bryndin


Trans-sectoral digital research of man, nature, society and industrial communication allows to create digital twins of social services. Digital duplicates associated with the service sector are created for intelligent process management. Digital twins of man provide services in the social sphere and in space. Training of digital twins in professional competences is carried out on the basis of communicative associative logic of technological thinking by cognitive methods. The study of the effectiveness of machine learning techniques, allowed the use of an approach that allows the combination of artificial intelligence and cognitive psychology. This approach provided pre-preparation of neural networks from accumulated data using existing behaviors. The approach combines existing scientific theories of human behavior with the flexibility of neural networks to make better decisions made by humans in space and in extreme situations. From a practical point of view, this makes it possible to more accurately determine the behavior of the human digital twin in space and in extreme situations. There are a number of socio-economic issues related to human-machine interaction. Complex technologies are not credible on the part of citizens. The coming years will take to improve safety and standardize the creation, application of digital twins and behavior of robots.


technological thinking; communicative and associative logic; digital doubles; communicative associative logic; adaptive behaviour

Full Text:



Bryndin, Evgeniy. (2019). Human Digital Doubles with Technological Cognitive Thinking and Adaptive Behaviour. Software Engineering, 1-9.

Bryndin, Evgeniy. (2016). Cognitive robot consultant for a healthy lifestyle. III International scientific conference "Information Technologies in Science, Management, the Social Sphere and Medicine”, 484-488.

Bryndin, Evgeniy. (2017). Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories. International Journal of Management and Fuzzy Systems, 57- 66.

Markets and Markets Research —"Collaborative Robots Market",2017. URL: html

Robotics Business Review —“The 2017 RBR50 List Names Robotics Industry Leaders, Innovators”, 2017 URL:

Cision. (2017). “Top Robotics Market by Industrial Robotics, Service Robotics — Global Forecast to 2022”. URL:

Gizmodo. (2017). “Robots Are Already Replacing Human Workers at an Alarming Rate”. URL:

Wermter, S., Palm, G., & Elshaw, M. (2005). Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience. Springer-Verlag Berlin Heidelberg.

Bryndin, Evgeniy. (2018). Technological Thinking, Communication and Behavior of Androids. Communications, 13-19.

Bryndin, Evgeniy. (2017). Program Hierarchical Realization of Adaptation Behavior of the Cognitive Mobile Robot with Imitative Thinking. International Journal of Engineering Management., 74-79.

Domingos, Pedro. (2016). Supreme algorithm. How machine learning will change our world. M.: Mann, Ivanov and Ferber.

Bryndin, Evgeniy. Social Cognitive Smart Robots: Guide, Seller, Lecturer, Vacuum Cleaner, Nurse, Volunteer, Security Guard, Administrator. Communications, 6-12.

Artificial Intelligence & Robotics: Industry Report & Investment Case. (2019).

Zhang, Shuai et al. (2018). Deep Learning based Recommender System: A Survey and New Perspectives,.

Bryndin, Evgeniy. (2019). System retraining to professional competences of cognitive robots on basis of communicative associative logic of technological thinking. International Robotics Automation Journal, 112‒119.

Google’s Artificial Intelligence Built an AI That Outperforms Any Made by Humans. (2019).

Samuel, A, F. (2019). On the Performance of Transmuted Logistic Distribution: Statistical Properties and Application. Budapest International Research in Exact Sciences (BirEx-Journal), 26-34.

Rad, Mostafa Rahimi. (2019). Learning Discourse Analysis by Applying Metaphorically-Based Materials. Britain International of Linguistics, Arts and Education, 9-17.



  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.