ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF

    公开(公告)号:US20250013240A1

    公开(公告)日:2025-01-09

    申请号:US18675795

    申请日:2024-05-28

    Abstract: An electronic apparatus includes a first sensor, a second sensor, at least one memory storing at least one instruction, and at least one processor operably connected with the first sensor, the second sensor, and the at least one memory, wherein the at least one processor, executing the at least one instruction, configured to acquire sensing data through the first sensor, identify a plurality of driving locations based on the sensing data, acquire a plurality of photographed images through the second sensor, store the plurality of driving locations and the plurality of photographed images in the at least one memory, and based on identifying an event preventing driving, identify a first time point corresponding to the event preventing driving, identify a second time point preceding the first time point by a threshold time, identify a driving location, among the plurality of driving locations, corresponding to the second time point, identify a photographed image, among the plurality of photographed images, corresponding to the second time point, and register the event preventing driving based on event information, and wherein the event information may include the driving location corresponding to the second time point and the photographed image corresponding to the second time point.

    ROBOT AND METHOD FOR CONTROLLING THEREOF
    3.
    发明公开

    公开(公告)号:US20230286166A1

    公开(公告)日:2023-09-14

    申请号:US18318328

    申请日:2023-05-16

    CPC classification number: B25J9/1697 B25J9/161 B25J9/1653

    Abstract: A robot is provided. The robot includes an image sensor, a driving part, a memory configured to store at least one instruction, and a processor, and the processor is configured to obtain a first image captured by the image sensor, obtain first information on an object included in the first image, control the driving part for the robot to approach the object, obtain a second image while the robot is approaching the object, obtain second information on an object based on the second image, determine whether an error is present in first information or second information based on the first information and the second information, and control an operation of the robot based on a determination result.

    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF

    公开(公告)号:US20220270198A1

    公开(公告)日:2022-08-25

    申请号:US17744263

    申请日:2022-05-13

    Abstract: An electronic apparatus includes a camera; a gripper configured to grip a grip target object; a memory configured to store a neural network model; and a processor configured to: obtain movement information and rotation information of the gripper by inputting at least one image captured by the camera to the neural network model, and control the gripper based on the movement information and the rotation information. The at least one image includes at least a part of the gripper and at least a part of the grip target object, and the neural network model is configured to output the movement information and the rotation information for positioning the gripper to be adjacent to the grip target object, based on the at least one image, the movement information includes one of a first direction movement, a second direction movement, or a movement stop of the gripper, and the rotation information includes one of a first direction rotation, a second direction rotation, or a non-rotation of the gripper.

    ELECTRONIC APPARATUS AND METHOD FOR CONTROLLING THEREOF

    公开(公告)号:US20210150746A1

    公开(公告)日:2021-05-20

    申请号:US17091802

    申请日:2020-11-06

    Abstract: A method of controlling an electronic apparatus includes acquiring an image and depth information of the acquired image; inputting the acquired image into a neural network model trained to acquire information on objects included in the acquired image; acquiring an intermediate feature value output by an intermediate layer of the neural network model; identifying a feature area for at least one object among the objects included in the acquired image based on the intermediate feature value; and acquiring distance information between the electronic apparatus and the at least one object based on the feature area for the at least one object and the depth information.

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