Bot-X: An AI-based virtual assistant for intelligent manufacturing

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS Multiagent and Grid Systems Pub Date : 2020-02-27 DOI:10.3233/MGS-210340
Chen Li, Hongji Yang
{"title":"Bot-X: An AI-based virtual assistant for intelligent manufacturing","authors":"Chen Li, Hongji Yang","doi":"10.3233/MGS-210340","DOIUrl":null,"url":null,"abstract":"In light of recent trends toward introducing Artificial Intelligence (AI) to enhance the Human Machine Interface (HMI), companies need to identify the key issues of the communication between operator and production machines. Despite the fact that the industrial company starts to introduce chatbots to assist the communication between humans and machines, the virtual assistant (or digital assistant) by using human natural language is still widely required in the manufacturing domain. In this paper, we introduce an AI-based virtual assistant, Bot-X, for the manufacturing industry to handle a variety of complex services, e.g., order processing, production execution. This work expands the idea in three directions. Firstly, we introduce the design motivation of Bot-X, e.g., knowledge boundary in the manufacturing context. Secondly, the design principle of Bot-X is presented, including the framework, system architecture, model architecture, and the core algorithm. Then, three scenarios are presented to test the Bot-X usability and flexibility regarding the manufacturing environment.","PeriodicalId":43659,"journal":{"name":"Multiagent and Grid Systems","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multiagent and Grid Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/MGS-210340","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 8

Abstract

In light of recent trends toward introducing Artificial Intelligence (AI) to enhance the Human Machine Interface (HMI), companies need to identify the key issues of the communication between operator and production machines. Despite the fact that the industrial company starts to introduce chatbots to assist the communication between humans and machines, the virtual assistant (or digital assistant) by using human natural language is still widely required in the manufacturing domain. In this paper, we introduce an AI-based virtual assistant, Bot-X, for the manufacturing industry to handle a variety of complex services, e.g., order processing, production execution. This work expands the idea in three directions. Firstly, we introduce the design motivation of Bot-X, e.g., knowledge boundary in the manufacturing context. Secondly, the design principle of Bot-X is presented, including the framework, system architecture, model architecture, and the core algorithm. Then, three scenarios are presented to test the Bot-X usability and flexibility regarding the manufacturing environment.
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
Bot-X:基于人工智能的智能制造虚拟助手
鉴于最近引入人工智能(AI)来增强人机界面(HMI)的趋势,公司需要确定操作员和生产机器之间通信的关键问题。尽管工业公司开始引入聊天机器人来辅助人与机器之间的交流,但在制造领域,使用人类自然语言的虚拟助手(或数字助手)仍然被广泛需要。在本文中,我们介绍了一个基于人工智能的虚拟助手Bot-X,用于制造业处理各种复杂的服务,如订单处理,生产执行。这项工作从三个方面扩展了这个想法。首先,我们介绍了Bot-X的设计动机,即制造环境下的知识边界。其次,介绍了Bot-X的设计原理,包括框架、系统架构、模型架构和核心算法。然后,提出了三个场景来测试Bot-X在制造环境中的可用性和灵活性。
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
Multiagent and Grid Systems
Multiagent and Grid Systems COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
1.50
自引率
0.00%
发文量
13
期刊最新文献
Blockchain applications for Internet of Things (IoT): A review Sine tangent search algorithm enabled LeNet for cotton crop classification using satellite image Optimization enabled elastic scaling in cloud based on predicted load for resource management Geese jellyfish search optimization trained deep learning for multiclass plant disease detection using leaf images Adam Adadelta Optimization based bidirectional encoder representations from transformers model for fake news detection on social media
×
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