Gripping system with machine learning

    公开(公告)号:US11338435B2

    公开(公告)日:2022-05-24

    申请号:US16195556

    申请日:2018-11-19

    Abstract: A gripping system includes a hand that grips a workpiece, a robot that supports the hand and changes at least one of a position and a posture of the hand, and an image sensor that acquires image information from a viewpoint interlocked with at least one of the position and the posture of the hand. Additionally, the gripping system includes a construction module that constructs a model by machine learning based on collection data. The model corresponds to at least a part of a process of specifying an operation command of the robot based on the image information acquired by the image sensor and hand position information representing at least one of the position and the posture of the hand. An operation module executes the operation command of the robot based on the image information, the hand position information, and the model, and a robot control module operates the robot based on the operation command of the robot operated by the operation module.

    Robot path generating device and robot system

    公开(公告)号:US11446820B2

    公开(公告)日:2022-09-20

    申请号:US16452529

    申请日:2019-06-26

    Abstract: To generate a more appropriate path, provided is a robot path generation device including circuitry configured to: hold a track planning module learning data set, in which a plurality of pieces of path data generated based on a motion constraint condition of a robot, and evaluation value data, which corresponds to each of the plurality of pieces path data and is a measure under a predetermined evaluation criterion, are associated with each other; and generate, based on a result of a machine learning process that is based on the track planning module learning data set, a path of the robot between a set start point and a set end point, which are freely set.

    Industrial device image recognition processor and controller

    公开(公告)号:US11004191B2

    公开(公告)日:2021-05-11

    申请号:US16441031

    申请日:2019-06-14

    Inventor: Masaru Adachi

    Abstract: An image recognition processor for an industrial device, the image recognition processor implementing, on an integrated circuit thereof, the functions of storing an image data processing algorithm, which has been determined based on prior learning; acquiring image data of an image including a predetermined pattern; and performing recognition processing on the image data based on the image data processing algorithm to output identification information for identifying a recognized pattern.

    ROBOT PATH GENERATING DEVICE AND ROBOT SYSTEM

    公开(公告)号:US20190314989A1

    公开(公告)日:2019-10-17

    申请号:US16452529

    申请日:2019-06-26

    Abstract: To generate a more appropriate path, provided is a robot path generation device including circuitry configured to: hold a track planning module learning data set, in which a plurality of pieces of path data generated based on a motion constraint condition of a robot, and evaluation value data, which corresponds to each of the plurality of pieces path data and is a measure under a predetermined evaluation criterion, are associated with each other; and generate, based on a result of a machine learning process that is based on the track planning module learning data set, a path of the robot between a set start point and a set end point, which are freely set.

    Event estimation system and event estimation method

    公开(公告)号:US11803178B2

    公开(公告)日:2023-10-31

    申请号:US17072623

    申请日:2020-10-16

    CPC classification number: G05B23/024 G05B13/0265 G06N3/045 H02P29/10

    Abstract: An event estimation system includes an upper device, and a lower controller device including first circuitry that acquires operation information of a control target device connected to the lower controller device, estimates a presence or absence of an abnormality based on the operation information, holds the operation information for a certain time period, and transmits, based on the presence or absence of an abnormality and to the upper device, the operation information related to the estimation of the presence or absence of the abnormality. The upper device has second circuitry that receives the operation information from the lower controller device, and operates according to the presence or absence of the abnormality, inputs, using an upper neural network model, the operation information, output event information, and estimates an event.

    Inspection system, terminal device, inspection method, and non-transitory computer readable storage medium

    公开(公告)号:US12111643B2

    公开(公告)日:2024-10-08

    申请号:US17408487

    申请日:2021-08-23

    CPC classification number: G05B19/41875 G06N20/00 G05B2219/32368

    Abstract: An inspection system includes machine learning circuitry configured to determine whether each of objects belongs to a predetermined attribute based on feature data of each of the objects, feature data acquisition circuitry configured to acquire feature data of reevaluated objects which are determined to belong to the predetermined attribute without using the machine learning circuitry among excluded objects which are determined not to belong to the predetermined attribute by the machine learning circuitry, and parameter update circuitry configured to update a learning parameter of the machine learning circuitry based on teaching data including the acquired feature data acquired by the feature data acquisition circuitry.

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