the storage and computational capabilities of traditional robots are limited by the performance of the robot’s inboard computer, moreover, with the fast development of new AI technologies, large knowledge base and powerful reasoning are most likely running on high-power GPU, which consumes more power and leads to enlarge mobile robot built-in batteries. Since then, more and more researchers have been working on different aspects of robot cloud technology, to migrate computational requirement as much as possible to the cloud. In this paper, Nokia Digital Automation Cloud (NDAC) is introduced, which is a heterogeneous network architecture and integrated with private 5G network and edge cloud architecture, and might be a powerful potential cloudification solution for mobile robot. With the help of NDAC, we can migrate all computational tasks to edge cloud via high speed and low latency private 5G network and truly realize deep-cloudification architecture for mobile robotics. As all computational devices removed from robot, obvious decrease on robot profile, weight, cost and power consumption can be imagined.


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    Titel :

    NDAC powered deep-level cloudification technology for mobile robotics


    Beteiligte:
    Zhang, Haiyang (Autor:in) / Zhou, Yanni (Autor:in) / Gao, Fei (Autor:in) / Leng, Xiaobing (Autor:in) / Gui, Pengfei (Autor:in)


    Erscheinungsdatum :

    07.10.2024


    Format / Umfang :

    630084 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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