Mobile Robot Self-Localization in Large-Scale Environments

نویسندگان

  • Axel Lankenau
  • Thomas Röfer
چکیده

This paper presents a new approach for the absolute self-localization of a mobile robot in structured large-scale environments. The requirements with regard to both, the necessary a-priori knowledge as well as the sensor equipment, are low. The algorithm scales up very well, due to a hybrid representation of the environment that augments a topological map with metric information. As a consequence, the method is especially suited for usage in large-scale service robotics applications. As an example for a future application, the so-called Navigation Assistant of the Bremen Autonomous Wheelchair “Rolland” is discussed. The self-localization results presented below stem from experiments with the wheelchair on a 2,176m long indoor and outdoor parcours on the campus of the Universität Bremen. Keywords— Navigation, Localization, Mobile Robots, Service Robots, Nonholonomic Robots

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تاریخ انتشار 2002