辅助机械臂通过面部识别自动将杯子送到嘴边

Hideyuki Tanaka, Y. Sumi, Y. Matsumoto
{"title":"辅助机械臂通过面部识别自动将杯子送到嘴边","authors":"Hideyuki Tanaka, Y. Sumi, Y. Matsumoto","doi":"10.1109/ARSO.2010.5679633","DOIUrl":null,"url":null,"abstract":"We developed an assistive-robotic-arm system which autonomously grasps a cup and brings it to the user's mouth. It was developed as a prototype of meal-assistance robot. We utilized two heterogeneous eye-in-hand cameras. One is the front-camera capturing objects, and the other is the side-camera capturing the user's face. The latter keeps an occlusion-free view even during the object bringing. We implemented a face recognition function which robustly identifies the user's face while predicting the face position. The arm is controlled by visual servoing technique. We verified the basic performance of the system through preliminary tests. The arm was able to execute the task, controlling the arm according to the position of the object and the user's face. We demonstrated the basic possibility for the meal-assistance robot.","PeriodicalId":164753,"journal":{"name":"2010 IEEE Workshop on Advanced Robotics and its Social Impacts","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Assistive robotic arm autonomously bringing a cup to the mouth by face recognition\",\"authors\":\"Hideyuki Tanaka, Y. Sumi, Y. Matsumoto\",\"doi\":\"10.1109/ARSO.2010.5679633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We developed an assistive-robotic-arm system which autonomously grasps a cup and brings it to the user's mouth. It was developed as a prototype of meal-assistance robot. We utilized two heterogeneous eye-in-hand cameras. One is the front-camera capturing objects, and the other is the side-camera capturing the user's face. The latter keeps an occlusion-free view even during the object bringing. We implemented a face recognition function which robustly identifies the user's face while predicting the face position. The arm is controlled by visual servoing technique. We verified the basic performance of the system through preliminary tests. The arm was able to execute the task, controlling the arm according to the position of the object and the user's face. We demonstrated the basic possibility for the meal-assistance robot.\",\"PeriodicalId\":164753,\"journal\":{\"name\":\"2010 IEEE Workshop on Advanced Robotics and its Social Impacts\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Workshop on Advanced Robotics and its Social Impacts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARSO.2010.5679633\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Workshop on Advanced Robotics and its Social Impacts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARSO.2010.5679633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

我们开发了一种辅助机械臂系统,它可以自动抓取杯子并将其送到用户的嘴里。它是作为餐助机器人的原型开发的。我们使用了两个异质眼手相机。一个是前置摄像头捕捉物体,另一个是侧置摄像头捕捉用户的脸部。后者保持一个无遮挡的视图,即使在物体带来。我们实现了一个人脸识别函数,该函数在预测人脸位置的同时鲁棒地识别用户的人脸。机械臂采用视觉伺服技术控制。通过初步测试,验证了系统的基本性能。手臂能够执行任务,根据物体的位置和用户的脸来控制手臂。我们展示了餐助机器人的基本可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assistive robotic arm autonomously bringing a cup to the mouth by face recognition
We developed an assistive-robotic-arm system which autonomously grasps a cup and brings it to the user's mouth. It was developed as a prototype of meal-assistance robot. We utilized two heterogeneous eye-in-hand cameras. One is the front-camera capturing objects, and the other is the side-camera capturing the user's face. The latter keeps an occlusion-free view even during the object bringing. We implemented a face recognition function which robustly identifies the user's face while predicting the face position. The arm is controlled by visual servoing technique. We verified the basic performance of the system through preliminary tests. The arm was able to execute the task, controlling the arm according to the position of the object and the user's face. We demonstrated the basic possibility for the meal-assistance robot.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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