LOCALIZATION OF ROBOT
    1.
    发明申请

    公开(公告)号:US20210205996A1

    公开(公告)日:2021-07-08

    申请号:US17098781

    申请日:2020-11-16

    Abstract: A robot according to one embodiment may include a storage configured to store a map of a space in which the robot operates, an input interface configured to obtain at least one image of a surrounding environment of the robot, and at least one processor configured to estimate a first position of the robot based on the at least one image obtained by the input interface, determine candidate nodes in the map of the space based on the first position of the robot, and estimate at least one of a second position of the robot or a pose of the robot based on the determined candidate nodes. In a 5G environment connected for the Internet of Things, embodiments may be implemented by executing an artificial intelligence algorithm and/or machine learning algorithm.

    METHOD FOR DRAWING MAP OF SPECIFIC AREA, ROBOT AND ELECTRONIC DEVICE IMPLEMENTING THEREOF

    公开(公告)号:US20200379455A1

    公开(公告)日:2020-12-03

    申请号:US16573551

    申请日:2019-09-17

    Abstract: Provided are a method for drawing a map of a specific area, a robot and an electronic device that implement such a method. According to the present disclosure, the method, the robot, and the electronic device improve quality of the drawn map by moving the robot so that loop closing is performed many times when the map is drawn. To this end, an accumulated moving distance from a first position and a second position of the robot moving in the specific area is measured, and when the loop closing is not performed at the second position, whether the loop closing is required at the second position is determined based on the measured accumulated moving distance and information on matching of feature points at the second position, and a movement of the robot is controlled based on a result of the determination.

    LOCALIZATION OF ROBOT
    4.
    发明申请

    公开(公告)号:US20210229291A1

    公开(公告)日:2021-07-29

    申请号:US17098832

    申请日:2020-11-16

    Abstract: A robot may include an input interface configured to obtain an image of a surrounding environment of the robot, and at least one processor configured to rotate the robot in place for localization, and estimate at least one of a position or a pose in a space, based on a plurality of sequential images obtained by the input interface during the rotation of the robot. The position or the pose of the robot may be estimated based on inputting the plurality of sequential images obtained during the rotation of the robot into a trained model based on an artificial neural network. In a 5G environment connected for the Internet of Things, embodiments of the present disclosure may execute an artificial intelligence algorithm and/or a machine learning algorithm.

    METHOD OF PERFORMING SIMULTANEOUS LOCALIZATION AND MAPPING WITH RESPECT TO A SALIENT OBJECT IN AN IMAGE

    公开(公告)号:US20210073570A1

    公开(公告)日:2021-03-11

    申请号:US16855979

    申请日:2020-04-22

    Abstract: The present disclosure relates to a method for performing simultaneous localization and mapping (SLAM) with respect to a salient object in an image, a robot and a cloud server for implementing such method. According to an embodiment of the present disclosure, a robot includes a camera sensor configured to capture one or more images for the robot to perform the SLAM with respect to a salient object for estimating a location of the robot within the space, a map storage configured to store the information for the robot to perform the SLAM, and a controller that is configured to: detect an object from the captured image; select, as a specific salient object for identifying the space, the detected object verified as corresponding to the specific salient object; and store, in the map storage, the selected specific salient object and coordinate information related to the selected specific salient object.

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