首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:An Accurate and Robust Flexible Guidance System for Indoor Industrial Environments
  • 本地全文:下载
  • 作者:David Herrero-Pérez ; Juan José Alcaraz-Jiménez ; Humberto Martínez-Barbera
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2013
  • 卷号:10
  • DOI:10.5772/56478
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:This work presents the development of a flexible industrial guidance system used to guide Automated Guided Vehicles (AGVs) in indoor industrial environments. Typically, wireless guidance systems are composed of path-tracking and localization methods linked to follow a certain route. This paper focuses on the localization approach that permits industrial vehicles to operate indoors with the grade of accuracy, repeatability and reliability required by industrial applications. A key point is that, apart from accuracy, the position estimates should be performed at a high sample rate in order to permit the path tracker to follow the route properly. Robustness of absolute positioning is also crucial in industrial applications. An Extended Kalman Filter (EKF) is adopted to fuse the information provided by a laser navigation system and odometry. The effectiveness of the development is tested using a custom modified commercial industrial vehicle operating in an industrial setting.
  • 关键词:Sensor Fusion; Extended Kalman Filter (EKF); Automated Guided Vehicles; Industrial Robots
国家哲学社会科学文献中心版权所有