Reconnaissance Robot for Rescue Services

Marek Bujňák, R. Pirník, Pavol Kuchár, A. Kanáliková
{"title":"Reconnaissance Robot for Rescue Services","authors":"Marek Bujňák, R. Pirník, Pavol Kuchár, A. Kanáliková","doi":"10.1109/ELEKTRO53996.2022.9803783","DOIUrl":null,"url":null,"abstract":"The spherical robots are becoming very popular in the field for many scientists and researchers working with surveillance, military, or transportation systems. This paper deals with comparing of each driving mechanism of the spherical robot. The vast majority of spherical robots only have inertial sensors, which they use for movement, positioning, travel balancing, etc. Few spherical robots can interact with the environment. Those who can do this have sensors that can measure the properties of the environment or can influence the environment in some way. The article also deals with the possibility to use sensors like cameras, gas sensors, thermocouples, and LiDARs. Data from these sensors will be processed using artificial intelligence techniques to detect anomalies in the environments. Chosen sensors can expand a robot's sensing capabilities which are usually very narrow. The aim of the article is to design s special type of spherical robot. If we join all these components together we can create a reconnaissance spherical robot for rescue services special designated for tunnels or closed spaces.The prototype is a financially inexpensive robot, which is also suitable for the teaching process, as an element that collects data from the environment (sensors, video, etc.), which will be used for working with AI tools.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 ELEKTRO (ELEKTRO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELEKTRO53996.2022.9803783","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

The spherical robots are becoming very popular in the field for many scientists and researchers working with surveillance, military, or transportation systems. This paper deals with comparing of each driving mechanism of the spherical robot. The vast majority of spherical robots only have inertial sensors, which they use for movement, positioning, travel balancing, etc. Few spherical robots can interact with the environment. Those who can do this have sensors that can measure the properties of the environment or can influence the environment in some way. The article also deals with the possibility to use sensors like cameras, gas sensors, thermocouples, and LiDARs. Data from these sensors will be processed using artificial intelligence techniques to detect anomalies in the environments. Chosen sensors can expand a robot's sensing capabilities which are usually very narrow. The aim of the article is to design s special type of spherical robot. If we join all these components together we can create a reconnaissance spherical robot for rescue services special designated for tunnels or closed spaces.The prototype is a financially inexpensive robot, which is also suitable for the teaching process, as an element that collects data from the environment (sensors, video, etc.), which will be used for working with AI tools.
用于救援的侦察机器人
对于许多从事监视、军事或运输系统的科学家和研究人员来说,球形机器人正变得非常受欢迎。本文对球面机器人各驱动机构进行了比较。绝大多数球形机器人只有惯性传感器,用于运动、定位、移动平衡等。很少有球形机器人能与环境相互作用。那些能做到这一点的人有传感器,可以测量环境的特性,或者以某种方式影响环境。本文还讨论了使用相机、气体传感器、热电偶和激光雷达等传感器的可能性。来自这些传感器的数据将使用人工智能技术进行处理,以检测环境中的异常情况。选定的传感器可以扩展机器人通常非常狭窄的传感能力。本文的目的是设计一种特殊类型的球形机器人。如果我们把所有这些部件结合在一起,我们可以创造一个侦察球形机器人,专门用于隧道或封闭空间的救援服务。这个原型是一个经济上便宜的机器人,它也适用于教学过程,作为一个从环境中收集数据的元素(传感器、视频等),这些数据将用于与人工智能工具一起工作。
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
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