基于任务分层和错误分类的恢复过程技术及人工智能在错误恢复中的应用

J. Robotics Netw. Artif. Life Pub Date : 2018-02-02 DOI:10.2991/jrnal.2018.5.1.13

Akira Nakamura, K. Nagata, K. Harada, N. Yamanobe

{"title":"基于任务分层和错误分类的恢复过程技术及人工智能在错误恢复中的应用","authors":"Akira Nakamura, K. Nagata, K. Harada, N. Yamanobe","doi":"10.2991/jrnal.2018.5.1.13","DOIUrl":null,"url":null,"abstract":"We have proposed an error recovery method using the concepts of task stratification and error classification. In this paper, the recovery process after the judgment of error is described in detail. In particular, we explain how to change the parameters of planning, modeling, and sensing when error recovery is performed. Furthermore, we apply artificial intelligence (AI) techniques, such as deep learning, to error recovery.","PeriodicalId":157035,"journal":{"name":"J. Robotics Netw. Artif. Life","volume":"57 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Technique of Recovery Process and Application of AI in Error Recovery Using Task Stratification and Error Classification\",\"authors\":\"Akira Nakamura, K. Nagata, K. Harada, N. Yamanobe\",\"doi\":\"10.2991/jrnal.2018.5.1.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have proposed an error recovery method using the concepts of task stratification and error classification. In this paper, the recovery process after the judgment of error is described in detail. In particular, we explain how to change the parameters of planning, modeling, and sensing when error recovery is performed. Furthermore, we apply artificial intelligence (AI) techniques, such as deep learning, to error recovery.\",\"PeriodicalId\":157035,\"journal\":{\"name\":\"J. Robotics Netw. Artif. Life\",\"volume\":\"57 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Robotics Netw. Artif. Life\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/jrnal.2018.5.1.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Robotics Netw. Artif. Life","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/jrnal.2018.5.1.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

我们利用任务分层和错误分类的概念提出了一种错误恢复方法。本文详细描述了错误判断后的恢复过程。特别是，我们解释了在执行错误恢复时如何更改规划、建模和感知的参数。此外，我们将人工智能(AI)技术，如深度学习，应用于错误恢复。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Technique of Recovery Process and Application of AI in Error Recovery Using Task Stratification and Error Classification

We have proposed an error recovery method using the concepts of task stratification and error classification. In this paper, the recovery process after the judgment of error is described in detail. In particular, we explain how to change the parameters of planning, modeling, and sensing when error recovery is performed. Furthermore, we apply artificial intelligence (AI) techniques, such as deep learning, to error recovery.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

J. Robotics Netw. Artif. Life

自引率

0.00%

发文量