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    SIMULTANEOUS LOCALIZATION AND MAPPING WITH REINFORCEMENT LEARNING
    32.
    发明申请
    SIMULTANEOUS LOCALIZATION AND MAPPING WITH REINFORCEMENT LEARNING 审中-公开

    公开(公告)号：US20180174038A1

    公开(公告)日：2018-06-21

    申请号：US15383804

    申请日：2016-12-19

    Applicant: Futurewei Technologies, Inc.

    Inventor： Wei Jiang ,  Wei Wang

    IPC: G06N3/08 ,  B25J9/16

    CPC classification number: G06N3/08 ,  B25J9/163 ,  G06N3/008 ,  G06N3/0454 ,  G06N7/005 ,  Y10S901/47

    Abstract: A robotic device is disclose as having deep reinforcement learning capability. The device includes non-transitory memory comprising instructions and one or more processors in communication with the memory. The instructions cause the one or more processors to receive a sensing frame, from a sensor, comprising an image. The processors then determine a movement transition based on the sensing frame and the deep reinforcement learning, wherein the deep reinforcement learning uses at least one of a map coverage reward, a map quality reward, or a traversability reward to determine the movement transition. The processors then update an area map based on the sensing frame and the deep reinforcement learning using a visual simultaneous localization and mapping (SLAM) process to determine the map updates.

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