INDUSTRIAL ROBOTICS SYSTEMS AND METHODS FOR CONTINUOUS AND AUTOMATED LEARNING

    公开(公告)号:US20210286342A1

    公开(公告)日:2021-09-16

    申请号:US17336061

    申请日:2021-06-01

    Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may maintain an first dataset configured to select pick points for objects. The apparatus may receive, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object. The apparatus may generate a second dataset based at least in part on the first dataset and the user dataset. The apparatus may receive a second image of a second object. The apparatus may select a pick point for the second object using the second dataset and the second image of the second object. The apparatus may send information associated with the pick point selected for the second object to a robotics device for picking up the second object.

    SYSTEMS AND METHODS FOR CREATING TRAINING DATA

    公开(公告)号:US20210201077A1

    公开(公告)日:2021-07-01

    申请号:US17139974

    申请日:2020-12-31

    Abstract: Training images can be synthesized in order to obtain enough data to train a model (e.g., a neural network) to recognize various classifications of a type of object. Images can be synthesized by blending images of objects labeled using those classifications into selected background images. To improve results, one or more operations are performed to determine whether the synthesized images can still be used as training data, such as by verifying one or more objects of interested represented in those images is not occluded, or at least satisfies a threshold level of acceptance. The training images can be used with real world images to train the model.

    INDUSTRIAL ROBOTICS SYSTEMS AND METHODS FOR CONTINUOUS AND AUTOMATED LEARNING

    公开(公告)号:US20230205184A1

    公开(公告)日:2023-06-29

    申请号:US18114970

    申请日:2023-02-27

    CPC classification number: G05B19/4183 G06N20/00 G05B19/4185 G05B19/41885

    Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may maintain an first dataset configured to select pick points for objects. The apparatus may receive, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object. The apparatus may generate a second dataset based at least in part on the first dataset and the user dataset. The apparatus may receive a second image of a second object. The apparatus may select a pick point for the second object using the second dataset and the second image of the second object. The apparatus may send information associated with the pick point selected for the second object to a robotics device for picking up the second object.

    Systems and methods for creating training data

    公开(公告)号:US11087172B2

    公开(公告)日:2021-08-10

    申请号:US17139974

    申请日:2020-12-31

    Abstract: Training images can be synthesized in order to obtain enough data to train a model (e.g., a neural network) to recognize various classifications of a type of object. Images can be synthesized by blending images of objects labeled using those classifications into selected background images. To improve results, one or more operations are performed to determine whether the synthesized images can still be used as training data, such as by verifying one or more objects of interested represented in those images is not occluded, or at least satisfies a threshold level of acceptance. The training images can be used with real world images to train the model.

    Industrial robotics systems and methods for continuous and automated learning

    公开(公告)号:US11592806B2

    公开(公告)日:2023-02-28

    申请号:US17336061

    申请日:2021-06-01

    Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may maintain an first dataset configured to select pick points for objects. The apparatus may receive, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object. The apparatus may generate a second dataset based at least in part on the first dataset and the user dataset. The apparatus may receive a second image of a second object. The apparatus may select a pick point for the second object using the second dataset and the second image of the second object. The apparatus may send information associated with the pick point selected for the second object to a robotics device for picking up the second object.

    Industrial robotics systems and methods for continuous and automated learning

    公开(公告)号:US11022961B2

    公开(公告)日:2021-06-01

    申请号:US16840384

    申请日:2020-04-04

    Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may maintain an first dataset configured to select pick points for objects. The apparatus may receive, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object. The apparatus may generate a second dataset based at least in part on the first dataset and the user dataset. The apparatus may receive a second image of a second object. The apparatus may select a pick point for the second object using the second dataset and the second image of the second object. The apparatus may send information associated with the pick point selected for the second object to a robotics device for picking up the second object.

    INDUSTRIAL ROBOTICS SYSTEMS AND METHODS FOR CONTINUOUS AND AUTOMATED LEARNING

    公开(公告)号:US20200319627A1

    公开(公告)日:2020-10-08

    申请号:US16840384

    申请日:2020-04-04

    Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may maintain an first dataset configured to select pick points for objects. The apparatus may receive, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object. The apparatus may generate a second dataset based at least in part on the first dataset and the user dataset. The apparatus may receive a second image of a second object. The apparatus may select a pick point for the second object using the second dataset and the second image of the second object. The apparatus may send information associated with the pick point selected for the second object to a robotics device for picking up the second object.

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