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Collaboration Robots as Digital Doubles of Person for Communication in Public Life and Space

Received: 22 July 2019     Accepted: 19 September 2019     Published: 9 October 2019
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Abstract

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.

Published in American Journal of Mechanical and Industrial Engineering (Volume 4, Issue 2)
DOI 10.11648/j.ajmie.20190402.12
Page(s) 35-39
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Technological Thinking, Communicative and Associative Logic, Digital Doubles, Communicative Associative Logic, Adaptive Behaviour

References
[1] Evgeniy Bryndin. Human Digital Doubles with Technological Cognitive Thinking and Adaptive Behaviour. Software Engineering, Volume 7, Issue 1, 2019. P. 1-9.
[2] Evgeniy G. Bryndin, Cognitive robot consultant for a healthy lifestyle. III International scientific conference "Information Technologies in Science, Management, the Social Sphere and Medicine". TPU. 2016. Pages 484-488.
[3] Evgeniy Bryndin. Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories. International Journal of Management and Fuzzy Systems. V.3, №.5, 2017, pp 57-66.
[4] Markets and Markets Research-"Collaborative Robots Market", 2017. URL: https://www.marketsandmarkets.com/Market-Reports/collaborative-robot-market-194541294. html
[5] Robotics Business Review-“The 2017 RBR50 List Names Robotics Industry Leaders, Innovators”, 2017 URL: https://www.roboticsbusinessreview.com/download/2017-rbr50-list-names-robotics-industry-leaders-innovators/
[6] Cision. “Top Robotics Market by Industrial Robotics, Service Robotics-Global Forecast to 2022”, 2017. URL: https://www.prnewswire.com/news-releases/top-roboticsmarket-by-industrial-robotics-service-robotics---global-forecastto-2022-300405291.html.
[7] Gizmodo. “Robots Are Already Replacing Human Workers at an Alarming Rate”, 2017. URL: https://gizmodo.com/robots-arealready-replacing-human-workers-at-an-alarmi-1793718198
[8] Stefan Wermter, Günther Palm, Mark Elshaw. Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience. Springer-Verlag Berlin Heidelberg. 2005. 389 pages.
[9] Evgeniy Bryndin. Technological Thinking, Communication and Behavior of Androids. Communications. Vol. 6, No. 1, 2018. Pages: 13-19.
[10] Evgeniy Bryndin. Program Hierarchical Realization of Adaptation Behavior of the Cognitive Mobile Robot with Imitative Thinking. International Journal of Engineering Management. Volume 1, Issue 4. 2017, pp. 74-79.
[11] Pedro Domingos. Supreme algorithm. How machine learning will change our world.-M.: Mann, Ivanov and Ferber, 2016.-336 pages.
[12] Evgeniy Bryndin. Social Cognitive Smart Robots: Guide, Seller, Lecturer, Vacuum Cleaner, Nurse, Volunteer, Security Guard, Administrator. Communications. Volume 7, Issue 1. 2019. Pages: 6-12.
[13] Artificial Intelligence & Robotics: Industry Report & Investment Case. 2019. https://indexes.nasdaqomx.com/docs/NQROBO%20Research.pdf.
[14] Deep Learning based Recommender System: A Survey and New Perspectives, Shuai Zhang et al., 2018. https://arxiv.org/pdf/1707.07435.pdf.
[15] Evgeniy Bryndin. System retraining to professional competences of cognitive robots on basis of communicative associative logic of technological thinking. International Robotics Automation Journal. 2019; 5 (3.): 112‒119.
[16] Google’s Artificial Intelligence Built an AI That Outperforms Any Made by Humans. 2019 https://futur-ism.com/google-artificial-intelligence-built-ai.
Cite This Article
  • APA Style

    Evgeniy Bryndin. (2019). Collaboration Robots as Digital Doubles of Person for Communication in Public Life and Space. American Journal of Mechanical and Industrial Engineering, 4(2), 35-39. https://doi.org/10.11648/j.ajmie.20190402.12

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    ACS Style

    Evgeniy Bryndin. Collaboration Robots as Digital Doubles of Person for Communication in Public Life and Space. Am. J. Mech. Ind. Eng. 2019, 4(2), 35-39. doi: 10.11648/j.ajmie.20190402.12

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    AMA Style

    Evgeniy Bryndin. Collaboration Robots as Digital Doubles of Person for Communication in Public Life and Space. Am J Mech Ind Eng. 2019;4(2):35-39. doi: 10.11648/j.ajmie.20190402.12

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  • @article{10.11648/j.ajmie.20190402.12,
      author = {Evgeniy Bryndin},
      title = {Collaboration Robots as Digital Doubles of Person for Communication in Public Life and Space},
      journal = {American Journal of Mechanical and Industrial Engineering},
      volume = {4},
      number = {2},
      pages = {35-39},
      doi = {10.11648/j.ajmie.20190402.12},
      url = {https://doi.org/10.11648/j.ajmie.20190402.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20190402.12},
      abstract = {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.},
     year = {2019}
    }
    

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    AB  - 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.
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Author Information
  • Scientific Department, Research Center "ESTESTVOINFORMATIKA", Novosibirsk, Russia

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