Development of Artificial Intelligence for Industrial and Social Robotization

E. Bryndin
{"title":"Development of Artificial Intelligence for Industrial and Social Robotization","authors":"E. Bryndin","doi":"10.11648/J.IJIIS.20211004.13","DOIUrl":null,"url":null,"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.","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"40 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Information and Database Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/J.IJIIS.20211004.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 1

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
工业和社会机器人化中人工智能的发展
工业和社会领域的智能机器人化呈现出国际规模。为人类生活的各个领域创造智能机器人与高科技和人工智能有关。目前,工业和社会机器人的人工智能发展是通过信息技术、认知机器人、数字孪生和人工智能系统来实现的。具有强人工智能的智能移动多样化代理的集成是工业和社会机器人人工智能发展的核心,通过专业技能的反复发展,提高其视觉,声音,主体,空间和时间敏感性。运用大数据,实现高新技术产业和社会领域的多元化和转型。移动多样化代理、技术平台和分析系统的认知集成,使您能够快速高效地解决大量数据的收集、分析和可视化任务。有效收集和分析大数据,使用强大的人工智能进行快速更新,将通过教授新技能来加速工业和社会机器人技术。基于大量智能代理处理大数据的智能机器人化需要更快的超级计算机。通过心理神经接口对机器人进行交流和控制,加速了工业和社会交流联想机器人的训练,促进了它们智能的发展,使它们成为改善社会生活的天然助手。快速的技术发展和快速的职业变化要求客户以项目为导向的人才培养。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.90
自引率
0.00%
发文量
21
期刊介绍: Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences. IJIIDS provides a medium for exchanging scientific research and technological achievements accomplished by the international community. It focuses on research in applications of advanced intelligent technologies for data storing and processing in a wide-ranging context. The issues addressed by IJIIDS involve solutions of real-life problems, in which it is necessary to apply intelligent technologies for achieving effective results. The emphasis of the reported work is on new and original research and technological developments rather than reports on the application of existing technology to different sets of data.
期刊最新文献
Development of Wearable Embedded Hybrid Powered Energy Sources for Mobile Phone Charging System Applying the Self-Organizing Map in the Classification of 195 Countries Using 32 Attributes Artificial Intelligence Chatbot Advisory System Intelligent Information and Database Systems: 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings, Part I Modelling of COVID-19 spread time and mortality rate using machine learning techniques
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1