Method of localization using multi sensor and robot implementing same

    公开(公告)号:US11554495B2

    公开(公告)日:2023-01-17

    申请号:US16766274

    申请日:2019-05-30

    Abstract: Disclosed herein are a method of localization using multi sensors and a robot implementing the same, the method including sensing a distance between an object placed outside of a robot and the robot and generating a first LiDAR frame by a LiDAR sensor of the robot while a moving unit moves the robot, capturing an image of an object placed outside of the robot and generating a first visual frame by a camera sensor of the robot, and comparing a LiDAR frame stored in a map storage of the robot with the first LiDAR frame, comparing a visual frame registered in a frame node of a pose graph with the first visual frame, determining accuracy of comparison's results of the first LiDAR frame, and calculating a current position of the robot by a controller.

    Method of acquiring image for recognizing position and robot implementing the same

    公开(公告)号:US11353885B2

    公开(公告)日:2022-06-07

    申请号:US16521051

    申请日:2019-07-24

    Abstract: Disclosed herein are a method of acquiring an image for recognizing a position and a robot implementing the same. In the method and robot, information value concerning movement of the robot is measured to efficiently acquire images including overlapped areas, and lenses of cameras on both sides of the robot are slided in a direction opposite to a direction of movement of the robot based on the measured information value concerning movement.

    METHOD OF PERFORMING CLOUD SLAM IN REAL TIME, AND ROBOT AND CLOUD SERVER FOR IMPLEMENTING THE SAME

    公开(公告)号:US20200004266A1

    公开(公告)日:2020-01-02

    申请号:US16557000

    申请日:2019-08-30

    Abstract: Provided are a method of performing cloud simultaneous localization and mapping (SLAM), and a robot and a cloud server for performing the same, and a robot for performing cloud SLAM in real time includes a first sensor configured to acquire sensor data necessary to perform the SLAM, a map storage unit configured to store a map synchronized with a cloud server, a communication unit configured to transmit the sensor data, a feature, or a last frame to the cloud server and receive a local map patch or a global pose from the cloud server, and a control unit configured to generate the sensor data, the feature extracted from the sensor data, or the last frame and control movement of the robot using the local map patch or the global pose received from the cloud server.

    Method of extracting feature from image using laser pattern and device and robot of extracting feature thereof

    公开(公告)号:US11493931B2

    公开(公告)日:2022-11-08

    申请号:US16489313

    申请日:2019-05-14

    Abstract: Provided herein are a method of extracting a feature from an image using a laser pattern and an identification device and a robot including the same, and the identification device for extracting a feature from an image using a laser pattern, which includes a first camera coupled to a laser filter and configured to generate a first image including a pattern of a laser which is reflected from an object, a second camera configured to capture an area overlapping an area captured by the first camera to generate a second image, and a controller configured to generate a mask for distinguishing an effective area using the pattern included in the first image and extract a feature from the second image by applying the mask to the second image.

    LOCALIZATION OF ROBOT
    10.
    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.

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