Dynamic multi-sensor data fusion system for intelligent robots

R. Luo, Meng-Hsien Lin, R. Scherp
{"title":"Dynamic multi-sensor data fusion system for intelligent robots","authors":"R. Luo, Meng-Hsien Lin, R. Scherp","doi":"10.1109/56.802","DOIUrl":null,"url":null,"abstract":"The objective of the authors is to develop an intelligent robot workstation capable of integrating data from multiple sensors. The investigation is based on a Unimation PUMA 560 robot and various external sensors. These include overhead vision, eye-in-hand vision, proximity, tactile array, position, force/torque, cross-fire, overload, and slip-sensing devices. The efficient fusion of data from different sources will enable the machine to respond promptly in dealing with the 'real world'. Towards this goal, the general paradigm of a sensor data fusion system has been developed, and some simulation results, as well as results from the actual implementation of certain concepts of sensor data fusion, have been demonstrated. >","PeriodicalId":370047,"journal":{"name":"IEEE J. Robotics Autom.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"256","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE J. Robotics Autom.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/56.802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 256

Abstract

The objective of the authors is to develop an intelligent robot workstation capable of integrating data from multiple sensors. The investigation is based on a Unimation PUMA 560 robot and various external sensors. These include overhead vision, eye-in-hand vision, proximity, tactile array, position, force/torque, cross-fire, overload, and slip-sensing devices. The efficient fusion of data from different sources will enable the machine to respond promptly in dealing with the 'real world'. Towards this goal, the general paradigm of a sensor data fusion system has been developed, and some simulation results, as well as results from the actual implementation of certain concepts of sensor data fusion, have been demonstrated. >
智能机器人动态多传感器数据融合系统
作者的目标是开发一种智能机器人工作站,能够集成来自多个传感器的数据。调查是基于Unimation PUMA 560机器人和各种外部传感器。这些包括头顶视觉,眼手视觉,接近,触觉阵列,位置,力/扭矩,交叉射击,过载和滑移传感装置。来自不同来源的数据的有效融合将使机器能够在处理“现实世界”时迅速做出反应。为了实现这一目标,已经开发了传感器数据融合系统的一般范例,并演示了一些仿真结果以及某些传感器数据融合概念的实际实现结果。>
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