Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills

Evgeniy Bryndin

doi:doi:10.11648/j.ajmie.20200501.12

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Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills

Evgeniy Bryndin

Published in American Journal of Mechanical and Industrial Engineering (Volume 5, Issue 1)

Received: 26 May 2020 Accepted: 5 June 2020 Published: 23 June 2020

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Abstract

The paper highlights general approach to creating cognitive adaptive robots with imitative thinking and adaptive behavior as an assistant to humans in various fields of activity. Communicative-associative symbolic-language thinking logic allows the creation of cognitive adaptive robots for different spheres of life. Specialization of cognitive adaptive robots is carried out on the basis of knowledge bases, bases of abilities and implementers of behavior. Adaptive behavior is guided by imitative thinking on a human task and is carried out by models of environment and behavior. Specialization of the robot is set by the subject knowledge base and base of abilities, and equipment (sensors, sensors, manipulators, motor systems and other devices). For collaborative robotics, you need a soft, sensitive, and naturally highly intelligent solution. The focus here is on pneumatic light robots, which are inherently designed to work together and can present a cost-effective alternative to humans in the future. The cognitive robot, by increasing visual, sound, substantive, spatial and temporal sensitivity, is able to acquire new skills and accumulate experience of behavior with the necessary technical means. New skills are taught by a retraining system in virtual space, and then the robot develops them in a specific environment. Thus, the professional experience of the cognitive robot in various specific environments is gradually accumulated and its sensitivity is increased. Cognitive adaptive retractable robots with imitative thinking, adaptive behavior, and increased sensitivity have the prospect of widespread practical application.

Published in	American Journal of Mechanical and Industrial Engineering (Volume 5, Issue 1)
DOI	10.11648/j.ajmie.20200501.12
Page(s)	6-14
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), 2020. Published by Science Publishing Group

Keywords

Sensitivity, Professional Retraining, Adaptive Behavior, Programming of Basic Functions, Safety

References

[1]	Evgeniy Bryndin. Development of sensitivity and active behavior of cognitive robot by means artificial intelligence. International Journal of Robotics Research and Development. VOL - 10, ISSUE - 1; 2020. Pages: 1-11.
[2]	Evgeniy Bryndin. Robots with Artificial Intelligence and Spectroscopic Sight in Hi-Tech Labor Market. International Journal of Systems Science and Applied Mathematic, V. 4, № 3, 2019. Pages: 31-37.
[3]	Evgeniy Bryndin. Mainstreaming technological development of industrial production based on artificial intelligence. COJ Technical & Scientific Research, 2 (3). 2019. Pages: 1-5.
[4]	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
[5]	Evgeniy Bryndin. Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories. International Journal of Management and Fuzzy Systems. V. 3, N. 5, 2017, pp 57-66.
[6]	Evgeniy Bryndin. Communicative Associative Logic of Cognitive Professional Robot with Imitative Thinking. Journal Engineering Mathematics, Volume 2, Issue 2. 2018. Pages: 79-85.
[7]	Evgeniy Bryndin. Cognitive professional robots with retraining skills. Materials of the III International Conference "Cognitive Robotics. TSU publishing House. 2018. Pages: 3-6.
[8]	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
[9]	Evgeniy Bryndin. Collaboration of Intelligent Interoperable Agents via Smart Interface. International Journal on Data Science and Technology, Vol. 5, Issue 2. 2019
[10]	Evgeniy Bryndin. Digital technologies of the industry 4.0. / Chepter 10, С. 201-222, Book: Computer Science Advances: Research and Applications. USA: Nova Science Publisher. 2019. 252 pages.
[11]	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.
[12]	Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents on Technological Platforms. COJ Technical & Scientific Research. 2 (4). 2020. Pages: 1-8.
[13]	Evgeniy Bryndin. Transformation Modeling of Nanostructures by Cognitive Systems according to Big Smart Data. Chepter 3, Pages: 21-28. / Book “New Materials: Preparation, Properties and Applications in the Aspect of Nanotechnology”. USA: Nova Science Publisher. 2020. 250 p
[14]	Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction. Automation, Control and Intelligent Systems. Volume 8; Issue 1. 2020. Pages: 1-8.
[15]	Evgeniy Bryndin. Formation of Technological Cognitive Reason with Artificial Intelligence in Virtual Space. Britain International of Exact Sciences Journal, Volume 2, Issue 2, May 2020. Page: 450-461.
[16]	Bryndin E. G. Automation and artificial intelligence improve and accelerate the cleaning of territories. International Symposium "Current Directions of Scientific Research: Technologies, Quality and Safety." KGU. 2020. Pages: 103-105.
[17]	Bryndin E. G. Developing the behavioral and professional skills of sensitive cognitive robots as a security aspect. Collection X International Scientific Conference "IT-STANDARD 2020" - Moscow: Publishing House "Prospect," 2020. Page 303-310.

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APA Style

Evgeniy Bryndin. (2020). Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills. American Journal of Mechanical and Industrial Engineering, 5(1), 6-14. https://doi.org/10.11648/j.ajmie.20200501.12

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ACS Style

Evgeniy Bryndin. Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills. Am. J. Mech. Ind. Eng. 2020, 5(1), 6-14. doi: 10.11648/j.ajmie.20200501.12

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AMA Style

Evgeniy Bryndin. Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills. Am J Mech Ind Eng. 2020;5(1):6-14. doi: 10.11648/j.ajmie.20200501.12

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@article{10.11648/j.ajmie.20200501.12,
  author = {Evgeniy Bryndin},
  title = {Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills},
  journal = {American Journal of Mechanical and Industrial Engineering},
  volume = {5},
  number = {1},
  pages = {6-14},
  doi = {10.11648/j.ajmie.20200501.12},
  url = {https://doi.org/10.11648/j.ajmie.20200501.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20200501.12},
  abstract = {The paper highlights general approach to creating cognitive adaptive robots with imitative thinking and adaptive behavior as an assistant to humans in various fields of activity. Communicative-associative symbolic-language thinking logic allows the creation of cognitive adaptive robots for different spheres of life. Specialization of cognitive adaptive robots is carried out on the basis of knowledge bases, bases of abilities and implementers of behavior. Adaptive behavior is guided by imitative thinking on a human task and is carried out by models of environment and behavior. Specialization of the robot is set by the subject knowledge base and base of abilities, and equipment (sensors, sensors, manipulators, motor systems and other devices). For collaborative robotics, you need a soft, sensitive, and naturally highly intelligent solution. The focus here is on pneumatic light robots, which are inherently designed to work together and can present a cost-effective alternative to humans in the future. The cognitive robot, by increasing visual, sound, substantive, spatial and temporal sensitivity, is able to acquire new skills and accumulate experience of behavior with the necessary technical means. New skills are taught by a retraining system in virtual space, and then the robot develops them in a specific environment. Thus, the professional experience of the cognitive robot in various specific environments is gradually accumulated and its sensitivity is increased. Cognitive adaptive retractable robots with imitative thinking, adaptive behavior, and increased sensitivity have the prospect of widespread practical application.},
 year = {2020}
}

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TY  - JOUR
T1  - Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills
AU  - Evgeniy Bryndin
Y1  - 2020/06/23
PY  - 2020
N1  - https://doi.org/10.11648/j.ajmie.20200501.12
DO  - 10.11648/j.ajmie.20200501.12
T2  - American Journal of Mechanical and Industrial Engineering
JF  - American Journal of Mechanical and Industrial Engineering
JO  - American Journal of Mechanical and Industrial Engineering
SP  - 6
EP  - 14
PB  - Science Publishing Group
SN  - 2575-6060
UR  - https://doi.org/10.11648/j.ajmie.20200501.12
AB  - The paper highlights general approach to creating cognitive adaptive robots with imitative thinking and adaptive behavior as an assistant to humans in various fields of activity. Communicative-associative symbolic-language thinking logic allows the creation of cognitive adaptive robots for different spheres of life. Specialization of cognitive adaptive robots is carried out on the basis of knowledge bases, bases of abilities and implementers of behavior. Adaptive behavior is guided by imitative thinking on a human task and is carried out by models of environment and behavior. Specialization of the robot is set by the subject knowledge base and base of abilities, and equipment (sensors, sensors, manipulators, motor systems and other devices). For collaborative robotics, you need a soft, sensitive, and naturally highly intelligent solution. The focus here is on pneumatic light robots, which are inherently designed to work together and can present a cost-effective alternative to humans in the future. The cognitive robot, by increasing visual, sound, substantive, spatial and temporal sensitivity, is able to acquire new skills and accumulate experience of behavior with the necessary technical means. New skills are taught by a retraining system in virtual space, and then the robot develops them in a specific environment. Thus, the professional experience of the cognitive robot in various specific environments is gradually accumulated and its sensitivity is increased. Cognitive adaptive retractable robots with imitative thinking, adaptive behavior, and increased sensitivity have the prospect of widespread practical application.
VL  - 5
IS  - 1
ER  -

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Author Information

Evgeniy Bryndin

Scientific Department, Research Center "Natural Informatic", Novosibirsk, Russia

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Plain Text BibTeX RIS

APA Style

Evgeniy Bryndin. (2020). Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills. American Journal of Mechanical and Industrial Engineering, 5(1), 6-14. https://doi.org/10.11648/j.ajmie.20200501.12

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ACS Style

Evgeniy Bryndin. Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills. Am. J. Mech. Ind. Eng. 2020, 5(1), 6-14. doi: 10.11648/j.ajmie.20200501.12

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AMA Style

Evgeniy Bryndin. Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills. Am J Mech Ind Eng. 2020;5(1):6-14. doi: 10.11648/j.ajmie.20200501.12

Copy | Download

@article{10.11648/j.ajmie.20200501.12,
  author = {Evgeniy Bryndin},
  title = {Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills},
  journal = {American Journal of Mechanical and Industrial Engineering},
  volume = {5},
  number = {1},
  pages = {6-14},
  doi = {10.11648/j.ajmie.20200501.12},
  url = {https://doi.org/10.11648/j.ajmie.20200501.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20200501.12},
  abstract = {The paper highlights general approach to creating cognitive adaptive robots with imitative thinking and adaptive behavior as an assistant to humans in various fields of activity. Communicative-associative symbolic-language thinking logic allows the creation of cognitive adaptive robots for different spheres of life. Specialization of cognitive adaptive robots is carried out on the basis of knowledge bases, bases of abilities and implementers of behavior. Adaptive behavior is guided by imitative thinking on a human task and is carried out by models of environment and behavior. Specialization of the robot is set by the subject knowledge base and base of abilities, and equipment (sensors, sensors, manipulators, motor systems and other devices). For collaborative robotics, you need a soft, sensitive, and naturally highly intelligent solution. The focus here is on pneumatic light robots, which are inherently designed to work together and can present a cost-effective alternative to humans in the future. The cognitive robot, by increasing visual, sound, substantive, spatial and temporal sensitivity, is able to acquire new skills and accumulate experience of behavior with the necessary technical means. New skills are taught by a retraining system in virtual space, and then the robot develops them in a specific environment. Thus, the professional experience of the cognitive robot in various specific environments is gradually accumulated and its sensitivity is increased. Cognitive adaptive retractable robots with imitative thinking, adaptive behavior, and increased sensitivity have the prospect of widespread practical application.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills
AU  - Evgeniy Bryndin
Y1  - 2020/06/23
PY  - 2020
N1  - https://doi.org/10.11648/j.ajmie.20200501.12
DO  - 10.11648/j.ajmie.20200501.12
T2  - American Journal of Mechanical and Industrial Engineering
JF  - American Journal of Mechanical and Industrial Engineering
JO  - American Journal of Mechanical and Industrial Engineering
SP  - 6
EP  - 14
PB  - Science Publishing Group
SN  - 2575-6060
UR  - https://doi.org/10.11648/j.ajmie.20200501.12
AB  - The paper highlights general approach to creating cognitive adaptive robots with imitative thinking and adaptive behavior as an assistant to humans in various fields of activity. Communicative-associative symbolic-language thinking logic allows the creation of cognitive adaptive robots for different spheres of life. Specialization of cognitive adaptive robots is carried out on the basis of knowledge bases, bases of abilities and implementers of behavior. Adaptive behavior is guided by imitative thinking on a human task and is carried out by models of environment and behavior. Specialization of the robot is set by the subject knowledge base and base of abilities, and equipment (sensors, sensors, manipulators, motor systems and other devices). For collaborative robotics, you need a soft, sensitive, and naturally highly intelligent solution. The focus here is on pneumatic light robots, which are inherently designed to work together and can present a cost-effective alternative to humans in the future. The cognitive robot, by increasing visual, sound, substantive, spatial and temporal sensitivity, is able to acquire new skills and accumulate experience of behavior with the necessary technical means. New skills are taught by a retraining system in virtual space, and then the robot develops them in a specific environment. Thus, the professional experience of the cognitive robot in various specific environments is gradually accumulated and its sensitivity is increased. Cognitive adaptive retractable robots with imitative thinking, adaptive behavior, and increased sensitivity have the prospect of widespread practical application.
VL  - 5
IS  - 1
ER  -

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