淡江大學機構典藏:Item 987654321/80809
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62830/95882 (66%)
造访人次 : 4031392      在线人数 : 999
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/80809


    题名: Efficient Neural Network Approach of Self-Localization for Humanoid Robot
    作者: Chang, Shih-hung;Chang, Wei-hsuan;Hsia, Chih-hsien;Ye, Fun;Chiang, Jen-shiun
    贡献者: 淡江大學資訊工程學系
    关键词: Self-Localization;Humanoid Soccer Robot;Precision;Neural Network;Accuracy Ration
    日期: 2009-12
    上传时间: 2013-03-07 14:00:53 (UTC+8)
    出版者: Taipei : Institute of electrical and electronics engineers (IEEE)
    摘要: Robot soccer game is one of the significant and interesting areas among most of the autonomous robotic researches. Following the humanoid soccer robot basic movement and strategy actions, the robot is operated in a dynamic and unpredictable contest environment and must recognize the position ofitselfin the field all the time. Therefore, the localization system of the soccer robot becomes the key technology to improve the performance. This work proposes efficient approachesfor humanoid robot and uses one landmark to accomplish the self-localization. This localization
    mechanism integrates the information from the pan/tilt motors and a single camera on the robot head together with the artificial neural network technique to adaptively adjust the humanoid robot position. The neural network approach can improve the precision of the localization. The experimental results indicate that the average accuracy ratio is 88.5% underframe rate of 15 frames per second (fps), and the average error for the distance between the actual position and the measured position ofthe object is 6.68cm.
    關聯: Proceedings of the 2009 joint conferences on pervasive computing, pp.149-154
    DOI: 10.1109/JCPC.2009.5420197
    显示于类别:[資訊工程學系暨研究所] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    Efficient Neural Network Approach of Self-Localization for Humanoid Robot.pdf全文檔7589KbAdobe PDF344检视/开启
    index.html0KbHTML278检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈