Using learned visual landmarks for intelligent topological navigation of mobile robots

M Mata, JM Armingol, A de la Escalera, MA Salichs

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    This paper presents practical, high-level topological navigation tasks, making use of our general purpose landmark learning and detection system, which includes the possibility of reading text or icons inside detected landmarks. Room identification from inside, without any initialization, is achieved through its landmark signature. Room search along a corridor is done by reading the content of room nameplates placed around for human use; this allow the robot to take high-level decisions, and results in a higher integration degree of mobile robotics in real life.
    Original languageEnglish
    Title of host publication2003 IEEE International Conference on Robotics and Automation, Vols 1-3, Proceedings
    PublisherIEEE
    Pages1324-1329
    Number of pages6
    ISBN (Print)9780780377363
    DOIs
    Publication statusPublished - Nov 2003

    Keywords

    • intelligent robots
    • navigation
    • mobile robots
    • position measurement
    • image recognition
    • robotics and automation
    • systems engineering and theory

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  • Cite this

    Mata, M., Armingol, JM., de la Escalera, A., & Salichs, MA. (2003). Using learned visual landmarks for intelligent topological navigation of mobile robots. In 2003 IEEE International Conference on Robotics and Automation, Vols 1-3, Proceedings (pp. 1324-1329). IEEE. https://doi.org/10.1109/ROBOT.2003.1241775