Development of Artificial Intelligence for Industrial and Social Robotization

Evgeny Bryndin

doi:doi:10.11648/j.ijiis.20211004.13

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Development of Artificial Intelligence for Industrial and Social Robotization

Evgeny Bryndin

Published in International Journal of Intelligent Information Systems (Volume 10, Issue 4)

Received: 5 August 2021 Accepted: 16 August 2021 Published: 24 August 2021

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Abstract

The intellectual robotization of industry and the social sphere takes on an international scale. The creation of smart robots for various spheres of human life is associated with high technology and artificial intelligence. Currently, the development of artificial intelligence for industrial and social robotics is carried out by information technology, cognitive robots, digital twins and artificial intelligence systems. The ensembles of intelligent mobile diversifiable agents with strong artificial intelligence are central to the development of artificial intelligence for industrial and social robotics through the recurring development of professional skills, increasing their visual, sound, subject, spatial and temporal sensitivity. Working with big data, diversify and transform the high-tech industry and the social sphere. The cognitive ensembles of mobile diversifiable agents, technology platforms and analytical systems allow you to quickly and efficiently solve the tasks of collecting, analyzing and visualizing large amounts of data. Effective collection and analysis of big data, their rapid updating using strong artificial intelligence will accelerate industrial and social robotics by teaching new skills. Intelligent robotization based on large ensembles of intelligent agents processing big data requires faster supercomputers. Communication and control of the robot through the mental neurointerface accelerates the training of industrial and social communicative-associative robots, the development of their intelligence, and makes them natural assistants in improving the life of society. Rapid technological development and rapid change of professions requires a client of project-oriented training of personnel.

Published in	International Journal of Intelligent Information Systems (Volume 10, Issue 4)
DOI	10.11648/j.ijiis.20211004.13
Page(s)	50-59
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), 2024. Published by Science Publishing Group

Keywords

Artificial Intelligence, Smart Robotization, Neurointerface, Intelligent Supercomputer, Client Design-Oriented Education

References

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[14]	Evgeniy Bryndin. Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction. Automation, Control and Intelligent Systems. Vol. 8, Issue 4, 2020, pp. 29-37.
[15]	Evgeniy Bryndin. Communicative-associative development of smart artificial intelligence by criteria with the help of ensembles of diversified agents. International Journal of Intelligent Information Systems. Volume 9, Issue 4, 2020. pp. 24-34.
[16]	Evgeny Bryndin. Implementation of Competencies by Smart Ethical Artificial Intelligence in Different Environments. Software Engineering. Volume 8, Issue 4, 2021. pp. 24-33.
[17]	Evgeny Bryndin. Functional and Harmonious Self-Organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies. American Journal of Software Engineering and Applications. Vol. 10, Issue 1, 2021. pp. 1-10.
[18]	Evgeny Bryndin. Formation of International Ethical Digital Environment with Smart Artificial Intelligence. Automation, Control and Intelligent Systems. V. 9, Issue 1, 2021, pp. 27-38.
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[22]	Evgeny Bryndin. Mental Communication of Internal Speech with Communicative Associative Robot via Spectral Neurointerface. American Journal of Applied Psychology. Volume 10, Issue 3, 2021. pp. 55-64.
[23]	Evgeniy Bryndin. Supercomputer BEG with Artificial Intelligence of Optimal Resource Use and Management by Continuous Processing of Large Programs. International Journal of Research in Engineering, Vol. 1, Issue 2, 2019. Pages: 9-14.
[24]	Evgeny Bryndin. Client-Project-Oriented University Education in Era of Rapid Technological Development and Change of Professions. Science Journal of Education. Vol. 9, Issue 4, 2021. pp. 124-130.

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APA Style

Evgeny Bryndin. (2021). Development of Artificial Intelligence for Industrial and Social Robotization. International Journal of Intelligent Information Systems, 10(4), 50-59. https://doi.org/10.11648/j.ijiis.20211004.13

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ACS Style

Evgeny Bryndin. Development of Artificial Intelligence for Industrial and Social Robotization. Int. J. Intell. Inf. Syst. 2021, 10(4), 50-59. doi: 10.11648/j.ijiis.20211004.13

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AMA Style

Evgeny Bryndin. Development of Artificial Intelligence for Industrial and Social Robotization. Int J Intell Inf Syst. 2021;10(4):50-59. doi: 10.11648/j.ijiis.20211004.13

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@article{10.11648/j.ijiis.20211004.13,
  author = {Evgeny Bryndin},
  title = {Development of Artificial Intelligence for Industrial and Social Robotization},
  journal = {International Journal of Intelligent Information Systems},
  volume = {10},
  number = {4},
  pages = {50-59},
  doi = {10.11648/j.ijiis.20211004.13},
  url = {https://doi.org/10.11648/j.ijiis.20211004.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20211004.13},
  abstract = {The intellectual robotization of industry and the social sphere takes on an international scale. The creation of smart robots for various spheres of human life is associated with high technology and artificial intelligence. Currently, the development of artificial intelligence for industrial and social robotics is carried out by information technology, cognitive robots, digital twins and artificial intelligence systems. The ensembles of intelligent mobile diversifiable agents with strong artificial intelligence are central to the development of artificial intelligence for industrial and social robotics through the recurring development of professional skills, increasing their visual, sound, subject, spatial and temporal sensitivity. Working with big data, diversify and transform the high-tech industry and the social sphere. The cognitive ensembles of mobile diversifiable agents, technology platforms and analytical systems allow you to quickly and efficiently solve the tasks of collecting, analyzing and visualizing large amounts of data. Effective collection and analysis of big data, their rapid updating using strong artificial intelligence will accelerate industrial and social robotics by teaching new skills. Intelligent robotization based on large ensembles of intelligent agents processing big data requires faster supercomputers. Communication and control of the robot through the mental neurointerface accelerates the training of industrial and social communicative-associative robots, the development of their intelligence, and makes them natural assistants in improving the life of society. Rapid technological development and rapid change of professions requires a client of project-oriented training of personnel.},
 year = {2021}
}

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TY  - JOUR
T1  - Development of Artificial Intelligence for Industrial and Social Robotization
AU  - Evgeny Bryndin
Y1  - 2021/08/24
PY  - 2021
N1  - https://doi.org/10.11648/j.ijiis.20211004.13
DO  - 10.11648/j.ijiis.20211004.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 50
EP  - 59
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20211004.13
AB  - The intellectual robotization of industry and the social sphere takes on an international scale. The creation of smart robots for various spheres of human life is associated with high technology and artificial intelligence. Currently, the development of artificial intelligence for industrial and social robotics is carried out by information technology, cognitive robots, digital twins and artificial intelligence systems. The ensembles of intelligent mobile diversifiable agents with strong artificial intelligence are central to the development of artificial intelligence for industrial and social robotics through the recurring development of professional skills, increasing their visual, sound, subject, spatial and temporal sensitivity. Working with big data, diversify and transform the high-tech industry and the social sphere. The cognitive ensembles of mobile diversifiable agents, technology platforms and analytical systems allow you to quickly and efficiently solve the tasks of collecting, analyzing and visualizing large amounts of data. Effective collection and analysis of big data, their rapid updating using strong artificial intelligence will accelerate industrial and social robotics by teaching new skills. Intelligent robotization based on large ensembles of intelligent agents processing big data requires faster supercomputers. Communication and control of the robot through the mental neurointerface accelerates the training of industrial and social communicative-associative robots, the development of their intelligence, and makes them natural assistants in improving the life of society. Rapid technological development and rapid change of professions requires a client of project-oriented training of personnel.
VL  - 10
IS  - 4
ER  -

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Author Information

Evgeny Bryndin

Research Department, Research Center ?Natural Informatics?, Novosibirsk, Russia

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Plain Text BibTeX RIS

APA Style

Evgeny Bryndin. (2021). Development of Artificial Intelligence for Industrial and Social Robotization. International Journal of Intelligent Information Systems, 10(4), 50-59. https://doi.org/10.11648/j.ijiis.20211004.13

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ACS Style

Evgeny Bryndin. Development of Artificial Intelligence for Industrial and Social Robotization. Int. J. Intell. Inf. Syst. 2021, 10(4), 50-59. doi: 10.11648/j.ijiis.20211004.13

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AMA Style

Evgeny Bryndin. Development of Artificial Intelligence for Industrial and Social Robotization. Int J Intell Inf Syst. 2021;10(4):50-59. doi: 10.11648/j.ijiis.20211004.13

Copy | Download

@article{10.11648/j.ijiis.20211004.13,
  author = {Evgeny Bryndin},
  title = {Development of Artificial Intelligence for Industrial and Social Robotization},
  journal = {International Journal of Intelligent Information Systems},
  volume = {10},
  number = {4},
  pages = {50-59},
  doi = {10.11648/j.ijiis.20211004.13},
  url = {https://doi.org/10.11648/j.ijiis.20211004.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20211004.13},
  abstract = {The intellectual robotization of industry and the social sphere takes on an international scale. The creation of smart robots for various spheres of human life is associated with high technology and artificial intelligence. Currently, the development of artificial intelligence for industrial and social robotics is carried out by information technology, cognitive robots, digital twins and artificial intelligence systems. The ensembles of intelligent mobile diversifiable agents with strong artificial intelligence are central to the development of artificial intelligence for industrial and social robotics through the recurring development of professional skills, increasing their visual, sound, subject, spatial and temporal sensitivity. Working with big data, diversify and transform the high-tech industry and the social sphere. The cognitive ensembles of mobile diversifiable agents, technology platforms and analytical systems allow you to quickly and efficiently solve the tasks of collecting, analyzing and visualizing large amounts of data. Effective collection and analysis of big data, their rapid updating using strong artificial intelligence will accelerate industrial and social robotics by teaching new skills. Intelligent robotization based on large ensembles of intelligent agents processing big data requires faster supercomputers. Communication and control of the robot through the mental neurointerface accelerates the training of industrial and social communicative-associative robots, the development of their intelligence, and makes them natural assistants in improving the life of society. Rapid technological development and rapid change of professions requires a client of project-oriented training of personnel.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Development of Artificial Intelligence for Industrial and Social Robotization
AU  - Evgeny Bryndin
Y1  - 2021/08/24
PY  - 2021
N1  - https://doi.org/10.11648/j.ijiis.20211004.13
DO  - 10.11648/j.ijiis.20211004.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 50
EP  - 59
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20211004.13
AB  - The intellectual robotization of industry and the social sphere takes on an international scale. The creation of smart robots for various spheres of human life is associated with high technology and artificial intelligence. Currently, the development of artificial intelligence for industrial and social robotics is carried out by information technology, cognitive robots, digital twins and artificial intelligence systems. The ensembles of intelligent mobile diversifiable agents with strong artificial intelligence are central to the development of artificial intelligence for industrial and social robotics through the recurring development of professional skills, increasing their visual, sound, subject, spatial and temporal sensitivity. Working with big data, diversify and transform the high-tech industry and the social sphere. The cognitive ensembles of mobile diversifiable agents, technology platforms and analytical systems allow you to quickly and efficiently solve the tasks of collecting, analyzing and visualizing large amounts of data. Effective collection and analysis of big data, their rapid updating using strong artificial intelligence will accelerate industrial and social robotics by teaching new skills. Intelligent robotization based on large ensembles of intelligent agents processing big data requires faster supercomputers. Communication and control of the robot through the mental neurointerface accelerates the training of industrial and social communicative-associative robots, the development of their intelligence, and makes them natural assistants in improving the life of society. Rapid technological development and rapid change of professions requires a client of project-oriented training of personnel.
VL  - 10
IS  - 4
ER  -

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