Feature map building based on shape similarity for home robot ApriAttenda™

Jiang Zhu, Nafis Ahmad, Hideichi Nakamoto, Nobuto Matsuhira

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Recently, the problem of map building and simultaneous localization is a hot topic in mobile robotics field. In this paper, a feature map building approach based on shape similarity for the development of home robot is presented. In the map building process, the robot is continuously localized as the map is being built. The odometry error between each constitutive step is eliminated by comparing the shape similarity of the corresponding objects in scan obtained from the laser ranger finder against the global map, which was built in the previous step. This developed algorithm is capable of producing faithful global map of indoor environment, as well as handling uncertain information, such as moving objects and fuzzy-shaped objects. The experiment is carried out using home robot ApriAttenda™, developed by Toshiba Corporation,

本文言語English
ホスト出版物のタイトル2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
ページ1030-1035
ページ数6
DOI
出版ステータスPublished - 2006 12月 1
外部発表はい
イベント2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006 - Kunming, China
継続期間: 2006 12月 172006 12月 20

出版物シリーズ

名前2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006

Conference

Conference2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
国/地域China
CityKunming
Period06/12/1706/12/20

ASJC Scopus subject areas

  • 人工知能
  • 電子工学および電気工学

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