This paper describes the trajectory learning system for an autonomous mobile robot designed for structured indoor environments. Absolute localization data are used by a trajectory learning module to create trajectory files which will be used during the task execution. The authors present the robot localization system which makes use of motion estimation provided by odometry and inertial sensing and of angular position measurements of artificial beacons. The learning system has been implemented on an experimental robot and tested in an office environment.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Mobile robot trajectory learning using absolute and relative localization data


    Beteiligte:
    Rafflin, C. (Autor:in) / Aldon, M.J. (Autor:in) / Fournier, A. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    522057 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Mobile Robot Trajectory Learning Using Absolute and Relative Localization Data

    Rafflin, C. / Aldon, M. J. / Fournier, A. et al. | British Library Conference Proceedings | 1994




    Angles-Only Absolute and Relative Trajectory Measurement System (ARTMS)

    Adam Koenig / Justin Kruger / Simone D'Amico | NTRS


    Acquiring Mobile Robot Behaviors by Learning Trajectory Velocities

    Ward, K. / Zelinsky, A. | British Library Online Contents | 2001