This chapter explores mapping, localization, and navigation techniques in robotics, highlighting the role of deep learning in processing high-dimensional sensor data. It discusses various mapping representations - geometric, voxel-based, and semantic - with models like CLIP and NeRF. Additionally, it covers localization methods, diffusion-based navigation strategies like Mobility VLA, and advances in hierarchical learning that improve robot adaptability in complex environments.


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    Titel :

    Mapping, Localization, and Navigation


    Beteiligte:

    Erschienen in:

    AI for Robotics ; Kapitel : 6 ; 265-309


    Erscheinungsdatum :

    03.05.2025


    Format / Umfang :

    45 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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