Enhancing robot learning
    1.
    发明授权

    公开(公告)号:US10967509B2

    公开(公告)日:2021-04-06

    申请号:US16910163

    申请日:2020-06-24

    Abstract: Methods, systems, and apparatus, including computer-readable media storing executable instructions, for enhancing robot learning. In some implementations, a robot stores first embeddings generated using a first machine learning model, and the first embeddings include one or more first private embeddings that are not shared with other robots. The robot receives a second machine learning model from a server system over a communication network. The robot generates a second private embedding for each of the one or more first private embeddings using the second machine learning model. The robot adds the second private embeddings to the cache of the robot and removes the one or more first private embeddings from the cache of the robot.

    ENHANCING ROBOT LEARNING
    2.
    发明申请

    公开(公告)号:US20210220991A1

    公开(公告)日:2021-07-22

    申请号:US17222496

    申请日:2021-04-05

    Abstract: Methods, systems, and apparatus, including computer-readable media storing executable instructions, for enhancing robot learning. In some implementations, a robot stores first embeddings generated using a first machine learning model, and the first embeddings include one or more first private embeddings that are not shared with other robots. The robot receives a second machine learning model from a server system over a communication network. The robot generates a second private embedding for each of the one or more first private embeddings using the second machine learning model. The robot adds the second private embeddings to the cache of the robot and removes the one or more first private embeddings from the cache of the robot.

    Enhancing robot learning
    3.
    发明授权

    公开(公告)号:US10730181B1

    公开(公告)日:2020-08-04

    申请号:US15855393

    申请日:2017-12-27

    Abstract: Methods, systems, and apparatus, including computer-readable media storing executable instructions, for enhancing robot learning. In some implementations, a robot stores first embeddings generated using a first machine learning model, and the first embeddings include one or more first private embeddings that are not shared with other robots. The robot receives a second machine learning model from a server system over a communication network. The robot generates a second private embedding for each of the one or more first private embeddings using the second machine learning model. The robot adds the second private embeddings to the cache of the robot and removes the one or more first private embeddings from the cache of the robot.

    Combined UV and Color Imaging System

    公开(公告)号:US20220124260A1

    公开(公告)日:2022-04-21

    申请号:US17354908

    申请日:2021-06-22

    Abstract: A system includes a color camera configured to detect visible light and ultraviolet (UV) light, a UV illuminator, and a processor configured to perform operations. The operations include causing the UV illuminator to emit UV light towards a portion of an environment and receiving, from the color camera, a color image that represents the portion illuminated by the emitted UV light and by visible light incident thereon. The operations also include determining a first extent to which UV light is attenuated in connection with pixels of the color camera that have a first color and a second extent to which UV light is attenuated in connection with pixels of the color camera that have a second color. The operations further include generating a UV image based on the color image, the first extent, and the second extent, and identifying a feature of the environment by processing the UV image.

    Enhancing robot learning
    5.
    发明授权

    公开(公告)号:US11685048B2

    公开(公告)日:2023-06-27

    申请号:US17222496

    申请日:2021-04-05

    Abstract: Methods, systems, and apparatus, including computer-readable media storing executable instructions, for enhancing robot learning. In some implementations, a robot stores first embeddings generated using a first machine learning model, and the first embeddings include one or more first private embeddings that are not shared with other robots. The robot receives a second machine learning model from a server system over a communication network. The robot generates a second private embedding for each of the one or more first private embeddings using the second machine learning model. The robot adds the second private embeddings to the cache of the robot and removes the one or more first private embeddings from the cache of the robot.

    ENHANCING ROBOT LEARNING
    6.
    发明申请

    公开(公告)号:US20200324407A1

    公开(公告)日:2020-10-15

    申请号:US16910163

    申请日:2020-06-24

    Abstract: Methods, systems, and apparatus, including computer-readable media storing executable instructions, for enhancing robot learning. In some implementations, a robot stores first embeddings generated using a first machine learning model, and the first embeddings include one or more first private embeddings that are not shared with other robots. The robot receives a second machine learning model from a server system over a communication network. The robot generates a second private embedding for each of the one or more first private embeddings using the second machine learning model. The robot adds the second private embeddings to the cache of the robot and removes the one or more first private embeddings from the cache of the robot.

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