Robot and method for controlling thereof

    公开(公告)号:US12181884B2

    公开(公告)日:2024-12-31

    申请号:US17747611

    申请日:2022-05-18

    Abstract: A robot includes: a sensor; a driver; a memory storing instructions; and a processor, wherein the processor is configured to execute the instructions to: acquire first scan data including location information of an object around the robot based on a sensing value acquired by the sensor at a first time point, input the first scan data to a neural network model learned to predict scan data to acquire second scan data predicted to be acquired by the robot at a second time point after the first time point, identify a possibility of collision with the object based on location information of the object included in the second scan data; acquire driving data based on the identified possibility of collision; and control the driver based on the acquired driving data.

    Method of determining position of vehicle and vehicle using the same

    公开(公告)号:US11255974B2

    公开(公告)日:2022-02-22

    申请号:US16396799

    申请日:2019-04-29

    Abstract: Provided is an autonomous vehicle including a storage configured to store a map including two-dimensionally represented road surface information and three-dimensionally represented structure information, a camera configured to obtain a two-dimensional (2D) image of a road surface in a vicinity of the vehicle, a light detection and ranging (LiDAR) unit configured to obtain three-dimensional (3D) spatial information regarding structures in a vicinity of the vehicle, and a controller comprising processing circuitry configured to determine at least one of the camera or the LiDAR unit as a position sensor, based on whether it is possible to obtain information regarding the road surface and/or the structures in the vicinity of the vehicle, to identify a position of the vehicle on the map corresponding to a current position of the vehicle using the position sensor, and performing autonomous driving based on the identified position on the map.

    ROBOT DEVICE OPERATING IN MODE CORRESPONDING TO POSITION OF ROBOT DEVICE AND CONTROL METHOD THEREOF

    公开(公告)号:US20240036585A1

    公开(公告)日:2024-02-01

    申请号:US18236064

    申请日:2023-08-21

    CPC classification number: G05D1/0274 G10L15/22 G10L2015/223

    Abstract: Provided is a robot device and method of controlling same, wherein the robot device includes: at least one sensor; at least one memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction to: based on the robot device being positioned at a first position, control the robot device in a first mode corresponding to the first position, identify, based on sensing data obtained by the at least one sensor, a first event of picking up the robot device by a user and a second event of placing the robot device, and based on an identification that a position of the robot device is changed from the first position to a second position based on new sensing data obtained by the at least one sensor after the first event and the second event sequentially occur, control the robot device in a second mode corresponding to the second position.

    ROBOT AND METHOD FOR CONTROLLING THEREOF

    公开(公告)号:US20220308591A1

    公开(公告)日:2022-09-29

    申请号:US17747611

    申请日:2022-05-18

    Abstract: A robot includes: a sensor; a driver; a memory storing instructions; and a processor, wherein the processor is configured to execute the instructions to: acquire first scan data including location information of an object around the robot based on a sensing value acquired by the sensor at a first time point, input the first scan data to a neural network model learned to predict scan data to acquire second scan data predicted to be acquired by the robot at a second time point after the first time point, identify a possibility of collision with the object based on location information of the object included in the second scan data; acquire driving data based on the identified possibility of collision; and control the driver based on the acquired driving data.

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