Tracking for humanoid robot based on Kinect

Qiubo Zhong, Jie Zhao, Chunya Tong
{"title":"Tracking for humanoid robot based on Kinect","authors":"Qiubo Zhong, Jie Zhao, Chunya Tong","doi":"10.1109/ICMC.2014.7231741","DOIUrl":null,"url":null,"abstract":"According to the high requirement in environment of tracking for humanoid robot based on vision, a recognition algorithm and control method is present using depth information extraction. The depth information is gathered by a Kinect camera from Microsoft, and an accelerated algorithm is proposed to improve the real-time requirements of image recognition. The obstacles information and robot status are gathered and an artificial potential field method based on safe region is planned to control the tracking. Finally, experiments are achieved on a real humanoid robot Nao.","PeriodicalId":104511,"journal":{"name":"2014 International Conference on Mechatronics and Control (ICMC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Mechatronics and Control (ICMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMC.2014.7231741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

According to the high requirement in environment of tracking for humanoid robot based on vision, a recognition algorithm and control method is present using depth information extraction. The depth information is gathered by a Kinect camera from Microsoft, and an accelerated algorithm is proposed to improve the real-time requirements of image recognition. The obstacles information and robot status are gathered and an artificial potential field method based on safe region is planned to control the tracking. Finally, experiments are achieved on a real humanoid robot Nao.
基于Kinect的人形机器人跟踪
针对基于视觉的仿人机器人对跟踪环境的高要求,提出了一种基于深度信息提取的识别算法和控制方法。深度信息由微软Kinect摄像头采集,并提出一种加速算法,提高图像识别的实时性要求。在收集障碍物信息和机器人状态的基础上,提出了一种基于安全区域的人工势场方法来控制机器人的跟踪。最后,在一个真实的仿人机器人Nao上进行了实验。
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:604180095
Book学术官方微信