ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

    公开(公告)号:US20190087668A1

    公开(公告)日:2019-03-21

    申请号:US16134501

    申请日:2018-09-18

    Abstract: An artificial intelligence (AI) system which utilizes a machine learning algorithm such as deep learning, a method therefor and an application therefor are provided. The method includes controlling an electronic device provided in a vehicle of the disclosure includes obtaining region information of a region located on a periphery of a path of the vehicle, obtaining an image by photographing a road on which the vehicle travels, through a camera, obtaining road information regarding the road on which the vehicle travels, by analyzing the obtained image, obtaining information regarding a virtual danger object which is likely to appear on the road on which the vehicle travels, based on the road information and the region information, and providing the information regarding the virtual danger object.

    ELECTRONIC APPARATUS PERFORMING SAFETY FUNCTION AND CONTROLLING METHOD THEREOF

    公开(公告)号:US20240058964A1

    公开(公告)日:2024-02-22

    申请号:US18236193

    申请日:2023-08-21

    CPC classification number: B25J9/1674 B25J9/0006 B25J9/163 B25J9/161

    Abstract: An electronic apparatus includes a communication interface and at least one processor configured to obtain safety template information. The at least one processor may, based on sensing data being received from a user device, identify the type of the context information corresponding to the at least one sensing data, identify the information about the dangerous situations based on the safety template information and the type of the context information, identify whether a surrounding environment of a wearable robot corresponds to a dangerous situation based on the at least one sensing data; based on identifying that the surrounding environment of the wearable robot corresponds to the dangerous situation, obtain the control information mapped to each dangerous situation based on the safety template information, and control at least one of the wearable robot or the at least one user device based on the obtained control information.

    DIAGNOSTIC ROBOT AND DIAGNOSTIC METHOD THEREOF

    公开(公告)号:US20240094309A1

    公开(公告)日:2024-03-21

    申请号:US18519651

    申请日:2023-11-27

    CPC classification number: G01R31/56 G05D1/0212 G05D2201/0207

    Abstract: Provided is a diagnostic robot including: a communication interface; and at least one processor configured to: control the communication interface to search for at least one candidate electronic device, select a target electronic device from among the at least one candidate electronic device, and identify a component of the target electronic device on which to perform a fault diagnosis, control the communication interface to transmit information associated with a diagnosis range to the target electronic device, obtain first diagnostic data by performing a first fault diagnosis on a component of the diagnostic robot, control the communication interface to receive, from the target electronic device, second diagnostic data generated from a second fault diagnosis performed on the component of the target electronic device while the target electronic device is positioned at a diagnosis area within the diagnosis range, and identify whether there is an abnormality in the component of the target electronic device based on the first diagnostic data and the second diagnostic data.

    MOBILE ROBOT DEVICE AND METHOD FOR PROVIDING SERVICE TO USER

    公开(公告)号:US20210008723A1

    公开(公告)日:2021-01-14

    申请号:US17040211

    申请日:2019-04-02

    Abstract: Provided are an artificial intelligence (AI) system utilizing a machine learning algorithm such as deep learning and an application thereof. A method of providing, by a mobile robot device including an arm device, a service to a user includes obtaining sensing information obtained by sensing a surrounding environment of the mobile robot device while the mobile robot device is traveling, changing, based on the sensing information which has been obtained by sensing, a safety operation level of the mobile robot device, and controlling, based on the changed safety operation level, an operation of the mobile robot device, wherein the safety operation level is a level for controlling an operation related to a movement of the mobile robot device and a motion of the arm device, and the mobile robot device changes the safety operation level by applying the obtained sensed information to a training model trained using an artificial intelligence algorithm.

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