Verifying and Assessing a Performance of an Automatic Vacuum Robot under Different Room Conditions

Thitivatr Patanasakpinyo, Natcha Chen, Natthikarn Singsornsri, Nattapach Kanchanaporn
{"title":"Verifying and Assessing a Performance of an Automatic Vacuum Robot under Different Room Conditions","authors":"Thitivatr Patanasakpinyo, Natcha Chen, Natthikarn Singsornsri, Nattapach Kanchanaporn","doi":"10.29007/w64v","DOIUrl":null,"url":null,"abstract":"Artificial intelligence has become the mainstream technology. Automatic vacuum clean- ers or robot vacuums change the field of vacuum cleaners with an involvement of an au- tomation, which is a technology that makes people’s daily life easier and more economical. Robot vacuums were invented by the Massachusetts Institute of Technology in 1990. To- day, robot vacuums are successful and have many users all around the world. More than 2.5 million families live in 60 countries use them. However, a question that is still being asked about robot vacuum is the efficiency of room coverage and the ability to remem- ber the redundant areas that have already been cleaned. The answers to these questions are unclear, as manufacturers do not reveal the algorithms that are learned by robots, or sometimes they just partially did, due to business reasons. This study was proposed in response to the above questions by using our mobile application for tracking and recording actual geolocations of the robot walking across various points of the room by extracting the real geolocation data from satellites consisting of a latitude and a longitude under multiple different room conditions. Once the robot has cleaned throughout the room, the applica- tion reported all areas that the robot has cleaned for analysis purpose. We presented the actual route map, the coverage area map, and the duplicate area map of the robot that potentially led the further understanding of robot vacuum’s effectiveness.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EPiC series in computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29007/w64v","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial intelligence has become the mainstream technology. Automatic vacuum clean- ers or robot vacuums change the field of vacuum cleaners with an involvement of an au- tomation, which is a technology that makes people’s daily life easier and more economical. Robot vacuums were invented by the Massachusetts Institute of Technology in 1990. To- day, robot vacuums are successful and have many users all around the world. More than 2.5 million families live in 60 countries use them. However, a question that is still being asked about robot vacuum is the efficiency of room coverage and the ability to remem- ber the redundant areas that have already been cleaned. The answers to these questions are unclear, as manufacturers do not reveal the algorithms that are learned by robots, or sometimes they just partially did, due to business reasons. This study was proposed in response to the above questions by using our mobile application for tracking and recording actual geolocations of the robot walking across various points of the room by extracting the real geolocation data from satellites consisting of a latitude and a longitude under multiple different room conditions. Once the robot has cleaned throughout the room, the applica- tion reported all areas that the robot has cleaned for analysis purpose. We presented the actual route map, the coverage area map, and the duplicate area map of the robot that potentially led the further understanding of robot vacuum’s effectiveness.
不同室内条件下自动真空机器人性能的验证与评估
人工智能已经成为主流技术。自动真空吸尘器或机器人真空吸尘器以一种自动化的方式改变了真空吸尘器的领域,这是一种使人们的日常生活更容易、更经济的技术。机器人吸尘器是由麻省理工学院于1990年发明的。时至今日,机器人真空吸尘器是成功的,在世界各地有许多用户。生活在60个国家的250多万个家庭使用它们。然而,关于机器人吸尘器的一个问题仍然是房间覆盖的效率和记住已经打扫过的多余区域的能力。这些问题的答案尚不清楚,因为制造商没有透露机器人学习的算法,或者有时出于商业原因,他们只是部分透露了算法。针对上述问题,本研究提出了我们的移动应用程序,通过提取多个不同房间条件下由纬度和经度组成的卫星的真实地理位置数据,来跟踪和记录机器人在房间各个点上行走的实际地理位置。一旦机器人打扫了整个房间,应用程序就会报告机器人打扫过的所有区域,以便进行分析。我们提出了机器人的实际路线图、覆盖区域图和重复区域图,这可能会进一步了解机器人真空的有效性。
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 求助全文
来源期刊
CiteScore
1.60
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信