A good extension method of free space in an uncertain 2D workspace by using an ultrasonic sensor

H. Noborio, K. Kondo, A. Noda
{"title":"A good extension method of free space in an uncertain 2D workspace by using an ultrasonic sensor","authors":"H. Noborio, K. Kondo, A. Noda","doi":"10.1109/IROS.1990.262481","DOIUrl":null,"url":null,"abstract":"In a robot workspace expressed explicitly by a quadtree representation that controls free regions and other regions, good algorithms have been presented which generates a fast collision-free path and a sequence of collision-free motions between the given start and goal for a mobile robot with complicated shape. Thus it is important to represent explicitly the workspace quadtree by using some sensor. If the workspace shapes can be acquired enough from an image obtained through a camera on the workspace ceiling, the presented algorithms fulfil their functions in the workspace. Otherwise, an another sensor must be used to construct the workspace quadtree. The authors propose an extension method of free space in an unknown two-dimensional workspace by using an ultrasonic sensor. Combining this extension method with the previous planning algorithms, the mobile robot can navigate to the target while avoiding obstacles even if it does not know their shapes and locations at all.<<ETX>>","PeriodicalId":409624,"journal":{"name":"EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1990.262481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

In a robot workspace expressed explicitly by a quadtree representation that controls free regions and other regions, good algorithms have been presented which generates a fast collision-free path and a sequence of collision-free motions between the given start and goal for a mobile robot with complicated shape. Thus it is important to represent explicitly the workspace quadtree by using some sensor. If the workspace shapes can be acquired enough from an image obtained through a camera on the workspace ceiling, the presented algorithms fulfil their functions in the workspace. Otherwise, an another sensor must be used to construct the workspace quadtree. The authors propose an extension method of free space in an unknown two-dimensional workspace by using an ultrasonic sensor. Combining this extension method with the previous planning algorithms, the mobile robot can navigate to the target while avoiding obstacles even if it does not know their shapes and locations at all.<>
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
提出了一种利用超声传感器在不确定二维工作空间中进行自由空间扩展的方法
在以控制自由区域和其他区域的四叉树表示的机器人工作空间中,针对形状复杂的移动机器人,提出了一种生成快速无碰撞路径和给定起始点到目标点之间一系列无碰撞运动的算法。因此,利用传感器明确地表示工作空间四叉树是很重要的。如果通过工作空间天花板上的相机获得的图像可以获得足够的工作空间形状,则所提出的算法在工作空间中实现了其功能。否则,必须使用另一个传感器来构建工作空间四叉树。提出了一种利用超声传感器在未知二维工作空间中扩展自由空间的方法。将这种扩展方法与之前的规划算法相结合,使得移动机器人在不知道障碍物形状和位置的情况下,也能在避开障碍物的同时导航到目标。
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
自引率
0.00%
发文量
0
期刊最新文献
A three fingered, multijointed gripper for experimental use Foot trajectory for a quadruped walking machine Integration of a task knowledge base and a cooperative maneuvering system for the telerobot 'MEISTER' Resolved motion control of redundant robot manipulators by neural optimization networks A 3-D scene interpreter for indoor navigation
×
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