Robot Navigation System Connecting OpenRTM to ROS Systems with eSEAT

Koichiro Kato, Nobuto Matsuhira

研究成果: Conference contribution

抄録

In recent years, the problem of the aging population and declining birth rate in Japan inspired research and development of service robots. Although we can provide a variety of services through coordination between the robots, it is difficult to synchronize the robots running on different software. In this paper, we propose a system concept and the coordination of different robot middlewares and demonstrate the system concept by implementing an actual robot system. More specifically, we develop a guidance system for a mobile robot using two middlewares OpenRTM and ROS with coordinating system eSEAT to convert the data types used in both systems. Additionally, we verify the efficiency of the system by combining it with Node-RED (superordinate system for scenario generation of robot) developed in our previous research in the future.

本文言語English
ホスト出版物のタイトル2022 IEEE/SICE International Symposium on System Integration, SII 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ850-855
ページ数6
ISBN(電子版)9781665445405
DOI
出版ステータスPublished - 2022
イベント2022 IEEE/SICE International Symposium on System Integration, SII 2022 - Virtual, Narvik, Norway
継続期間: 2022 1月 92022 1月 12

出版物シリーズ

名前2022 IEEE/SICE International Symposium on System Integration, SII 2022

Conference

Conference2022 IEEE/SICE International Symposium on System Integration, SII 2022
国/地域Norway
CityVirtual, Narvik
Period22/1/922/1/12

ASJC Scopus subject areas

  • 人工知能
  • ハードウェアとアーキテクチャ
  • 生体医工学
  • 制御およびシステム工学
  • 機械工学
  • 制御と最適化

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