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    JOINT APPARATUS FOR ROBOT
    4.
    发明申请
    JOINT APPARATUS FOR ROBOT 有权

    公开(公告)号：US20250058458A1

    公开(公告)日：2025-02-20

    申请号：US18935096

    申请日：2024-11-01

    Applicant: NAVER CORPORATION ,  Korea University of Technology and Education Industry-University Cooperation Foundation

    Inventor： Yong Jae KIM ,  Seong Ho YUN ,  Jae Hyun PARK

    IPC: B25J9/10

    Abstract: A robot joint device having an upper arm unit including a first rotating pulley, a second rotating pulley and a third rotating pulley sequentially arranged in one direction, a forearm unit including a fixing pulley configured to rolling-contact the third rotating pulley, a connection unit including a first pivot shaft passing through the third rotating pulley and being connected to the upper arm unit, and a second pivot shaft passing through the fixing pulley and being connected to the forearm unit, a first cable unit wound around the first rotating pulley in a first direction, bent between the second rotating pulley and the third rotating pulley, and fixed to the fixing pulley, and a second cable unit wound around the first rotating pulley in a second direction opposite to the first direction, bent between the second rotating pulley and the third rotating pulley, and fixed to the fixing pulley.

    METHOD AND APPARATUS FOR OPERATING MULTI-TASK LEARNING MODEL
    5.
    发明申请
    METHOD AND APPARATUS FOR OPERATING MULTI-TASK LEARNING MODEL 有权

    公开(公告)号：US20240378497A1

    公开(公告)日：2024-11-14

    申请号：US18447675

    申请日：2023-08-10

    Applicant: Korea University of Technology and Education Industry-University Cooperation Foundation

    Inventor： Won Tae KIM ,  Young Jin KIM ,  Han Jin KIM

    IPC: G06N20/00

    Abstract: The operation method of a multi-task learning model according to an embodiment of the present disclosure may include: obtaining a common feature vector of a previous step; receiving input data corresponding to a current task executed in a current step from among a plurality of tasks; extracting a common feature vector of the current step based on the common feature vector of the previous step and the input data corresponding to the current task; extracting an output feature vector corresponding to the current task based on the common feature vector of the current step; and outputting output data corresponding to the current task based on the output feature vector corresponding to the current task.

    DEEP LEARNING-BASED MLCC STACKED ALIGNMENT INSPECTION SYSTEM AND METHOD
    9.
    发明公开
    DEEP LEARNING-BASED MLCC STACKED ALIGNMENT INSPECTION SYSTEM AND METHOD 审中-公开

    公开(公告)号：US20240103076A1

    公开(公告)日：2024-03-28

    申请号：US18276450

    申请日：2022-11-01

    Applicant: KOREA UNIVERSITY OF TECHNOLOGY AND EDUCATION INDUSTRY- UNIVERSITY COOPERATION FOUNDATION

    Inventor： Heung-Seon OH ,  Sung Bin SON ,  Jun Uk JUNG ,  Hyun Jae KIM

    IPC: G01R31/3183

    CPC classification number: G01R31/318307 ,  G01R31/318342

    Abstract: A deep learning-based MLCC stacked alignment inspection system includes an integrated defect detection unit configured to detect core areas requiring inspection of image data in which a stacked structure is photographed from a semiconductor MLCC chip by using at least one deep learning-based core area detection model, perform segmentation in the detected core areas, determine whether a defect exists according to a standard margin percentage range, and enable defect detection by generating normal and/or defective data based on the determination result, a result analysis unit configured to perform visualization for respective results of the core area detection, segmentation, and defect detection of the integrated defect detection unit, and provide stepwise analysis data for the visualized respective results so as to determine whether to modify corresponding data, and a data storage configured to store the normal and/or defective data, and stepwise analysis data.

    Robot hand
    10.
    发明授权
    Robot hand 有权

    公开(公告)号：US11897122B2

    公开(公告)日：2024-02-13

    申请号：US16755593

    申请日：2018-10-11

    Applicant: KOREA UNIVERSITY OF TECHNOLOGY AND EDUCATION INDUSTRY-UNIVERSITY COOPERATION FOUNDATION ,  NAVER LABS Corporation

    Inventor： Yong Jae Kim ,  Jong In Kim ,  Jun Suk Yoon

    IPC: B25J15/10 ,  B25J15/02 ,  B25J15/00

    CPC classification number: B25J15/0233 ,  B25J15/10 ,  B25J15/0009

    Abstract: Disclosed is a robot hand comprising a base, a first bracket provided on an upper portion of the base, a second bracket provided on an upper portion of the base and configured such that the other side of the second bracket is rotatable in a horizontal direction about one side of the second bracket, a plurality of finger modules coupled to upper portions of the first and second brackets, respectively, and configured to tilt in order to grip an object, finger drive units installed on the first and second brackets and configured to transmit driving power to the finger modules and a rotation drive unit installed at one side of the second bracket and configured to transmit driving power so that the other side of the second bracket is rotatable in the horizontal direction about one side of the second bracket.

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