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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Mobile robot trajectory learning using absolute and relative localization data


    Contributors:
    Rafflin, C. (author) / Aldon, M.J. (author) / Fournier, A. (author)


    Publication date :

    1994-01-01


    Size :

    522057 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    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