Intelligent planning based on multi-resolution map for simultaneous localization and mapping

Yuichiro Toda, Naoyuki Kubota, Norio Baba

研究成果

9 被引用数 (Scopus)

抄録

Simultaneous localization and mapping (SLAM) is one of important topics in robotics. However, we must consider various intelligent behaviors in SLAM, e.g., the exploration of unknown areas and effective path planning of mobile robots. To realize these intelligent behaviors, we use a multi-resolution map. The multi-resolution map can be updated by the operators suitable to a specific aim. The first aim is to represent the occupied or empty cells in the built map. The next aim is to represent the unknown areas in the built map. These are used for the intelligent planning. The intelligent planning is composed of preplanning, online planning, and adaptive planning. These planning methods are used according to the state of a built map. The experimental results show the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトルIEEE SSCI 2011
ホスト出版物のサブタイトルSymposium Series on Computational Intelligence - RIISS 2011: 2011 IEEE Workshop on Robotic Intelligence in Informationally Structured Space
ページ144-150
ページ数7
DOI
出版ステータスPublished - 8月 12 2011
外部発表はい
イベントSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RIISS 2011 - Paris
継続期間: 4月 11 20114月 15 2011

出版物シリーズ

名前IEEE SSCI 2011: Symposium Series on Computational Intelligence - RIISS 2011: 2011 IEEE Workshop on Robotic Intelligence in Informationally Structured Space

Other

OtherSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RIISS 2011
国/地域France
CityParis
Period4/11/114/15/11

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム

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