Jhih-Yuan Huang, Wei-Po Lee, Tsung-Hsien Yang, Chiang-Sen Ko
{"title":"Resource sharing for cloud robots: Service reuse and collective map building","authors":"Jhih-Yuan Huang, Wei-Po Lee, Tsung-Hsien Yang, Chiang-Sen Ko","doi":"10.1109/ICAR.2017.8023624","DOIUrl":null,"url":null,"abstract":"Cloud robotics is proposed to describe a new approach that takes advantage of “internet as a resource” for real-time sharing of various resources and massively parallel computation. This study is to investigate how different kinds of internet resources can be located on the Internet for sharing among robots. It focuses on the sharing of robot services created by different developers and the building of a more complete environment map from the partial maps constructed by different robots. To verify our work, we perform a set of experiments and the results show the promise of the presented approach.","PeriodicalId":198633,"journal":{"name":"2017 18th International Conference on Advanced Robotics (ICAR)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 18th International Conference on Advanced Robotics (ICAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAR.2017.8023624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Cloud robotics is proposed to describe a new approach that takes advantage of “internet as a resource” for real-time sharing of various resources and massively parallel computation. This study is to investigate how different kinds of internet resources can be located on the Internet for sharing among robots. It focuses on the sharing of robot services created by different developers and the building of a more complete environment map from the partial maps constructed by different robots. To verify our work, we perform a set of experiments and the results show the promise of the presented approach.