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    SYSTEMS AND METHODS FOR RECEIVING SENSOR DATA FOR AN OPERATING MANUFACTURING MACHINE AND PRODUCING AN ALERT DURING MANUFACTURE OF A PART
    2.
    发明申请
    SYSTEMS AND METHODS FOR RECEIVING SENSOR DATA FOR AN OPERATING MANUFACTURING MACHINE AND PRODUCING AN ALERT DURING MANUFACTURE OF A PART 审中-公开

    公开(公告)号：US20190018400A1

    公开(公告)日：2019-01-17

    申请号：US15971574

    申请日：2018-05-04

    Applicant: General Electric Company

    Inventor： Adam McCANN ,  Jacob BERLIER ,  Li ZHANG ,  Brandon GOOD

    IPC: G05B23/02 ,  G06Q10/00 ,  G05B19/4063

    Abstract: Method, and corresponding system, for producing an alert during manufacture of a part formed by a plurality of layers. The method includes determining the sensor data values at the working tool positions of each of the plurality of layers based on a correlation of the values of the sensor data relative to time and the working tool positions of each of the plurality of layers relative to time. During the manufacturing process, the sensor data values at the working tool positions of at least one of the plurality of layers are compared to reference data values at the working tool positions for the at least one layer to determine a comparison measure for the at least one layer. An alert is transmitted if the determined comparison measure of a layer is not within a defined range. A defined action is applied to the manufacturing process based on the transmitted alert.

    SYSTEMS AND METHODS FOR LOCATING HUMANS USING DYNAMIC FIELD ROBOTIC-SENSOR NETWORK OF HUMAN-ROBOT TEAM
    3.
    发明申请
    SYSTEMS AND METHODS FOR LOCATING HUMANS USING DYNAMIC FIELD ROBOTIC-SENSOR NETWORK OF HUMAN-ROBOT TEAM 审中-公开

    公开(公告)号：US20200302633A1

    公开(公告)日：2020-09-24

    申请号：US16357868

    申请日：2019-03-19

    Applicant: General Electric Company

    Inventor： Huan TAN ,  Li ZHANG ,  Yakov POLISHCHUK ,  Bo WANG

    IPC: G06T7/70 ,  G06T7/292 ,  G06K9/00 ,  G06K9/62

    Abstract: A system including at least three robots. Each robot including a proximity sensor unit and an imaging device. At least one robot including a processor to perform a method of estimating a pose of a human, the method including obtaining a first pose estimate for the human, the first pose estimate based on proximity sensor information, obtaining a second pose estimate for the human, the second pose estimate based on imaging device information, and generating a refined pose estimate for the human by fusing the first pose estimate with the second pose estimate, where the first pose information provides predictive values and the second pose estimate provides correction values. The method including applying a deep neural network (DNN) human model, and applying a DNN human pose model. A method to generate a refined pose estimation for a human and a non-transitory computer readable medium are also disclosed.

    SYSTEMS AND METHODS OF FEATURE CORRESPONDENCE ANALYSIS
    5.
    发明申请
    SYSTEMS AND METHODS OF FEATURE CORRESPONDENCE ANALYSIS 审中-公开

    公开(公告)号：US20200005444A1

    公开(公告)日：2020-01-02

    申请号：US16022074

    申请日：2018-06-28

    Applicant: General Electric Company

    Inventor： Huan TAN ,  Arpit JAIN ,  Gyeong Woo CHEON ,  Ghulam Ali BALOCH ,  Jilin TU ,  Weina GE ,  Li ZHANG

    IPC: G06T7/00 ,  G06T7/73 ,  G06K9/46 ,  G06K9/62 ,  G06T7/20

    Abstract: A method and system, the method including receiving semantic descriptions of features of an asset extracted from a first set of images; receiving a model of the asset, the model constructed based on a second set of a plurality images of the asset; receiving, based on an optical flow-based motion estimation, an indication of a motion for the features in the first set of images; determining a set of candidate regions of interest for the asset; determining a region of interest in the first set of images; iteratively determining a matching of features in the set of candidate regions of interest and the determined region of interest in the first set of images to generate a record of matches in features between two images in the first set of images; and displaying a visualization of the matches in features between two images in the first set of images.

    METHOD TO SECURELY BROKER TRUSTED DISTRIBUTED TASK CONTRACTS
    8.
    发明申请
    METHOD TO SECURELY BROKER TRUSTED DISTRIBUTED TASK CONTRACTS 审中-公开

    公开(公告)号：US20190386968A1

    公开(公告)日：2019-12-19

    申请号：US16010911

    申请日：2018-06-18

    Applicant: General Electric Company

    Inventor： Brandon Stephen GOOD ,  Willard Monten WISEMAN ,  Benjamin Edward BECKMANN ,  Li ZHANG

    IPC: H04L29/06 ,  H04L9/30 ,  G06Q20/14

    Abstract: According to some embodiments, an edge device may receive, via a secure, distributed transaction ledger (e.g., associated with blockchain technology), information about a task contract published by a publisher device including an indication of a benefit and encryption information. The task contract might be associated with, for example, a compute transaction task and/or a physical task. The edge device may evaluate the received information in accordance with resources locally available at the edge device, and, responsive to said evaluation, transmit to the secure, distributed transaction ledger an indication of acceptance of the published task contract. According to some embodiments, the edge device may execute the published task contract, and, upon completion, arrange to receive the benefit associated with the published task contract.

    SYSTEMS AND METHODS FOR AUTONOMOUS ROBOT NAVIGATION
    9.
    发明申请
    SYSTEMS AND METHODS FOR AUTONOMOUS ROBOT NAVIGATION 审中-公开

    公开(公告)号：US20200285247A1

    公开(公告)日：2020-09-10

    申请号：US16293972

    申请日：2019-03-06

    Applicant: General Electric Company

    Inventor： Huan TAN ,  Isabella HEUKENSFELDT JANSEN ,  Gyeong Woo CHEON ,  Li ZHANG

    IPC: G05D1/02 ,  G06T7/73 ,  G06T7/194 ,  G05D1/00 ,  G06N3/08

    Abstract: A method of robot autonomous navigation includes capturing an image of the environment, segmenting the captured image to identify one or more foreground objects and one or more background objects, determining a match between one or more of the foreground objects to one or more predefined image files, estimating an object pose for the one or more foreground objects by implementing an iterative estimation loop, determining a robot pose estimate by applying a robot-centric environmental model to the object pose estimate by implementing an iterative refinement loop, associating semantic labels to the matched foreground object, compiling a semantic map containing the semantic labels and segmented object image pose, and providing localization information to the robot based on the semantic map and the robot pose estimate. A system and a non-transitory computer-readable medium are also disclosed.

    SYSTEMS AND METHODS OF 3D SCENE SEGMENTATION AND MATCHING FOR ROBOTIC OPERATIONS
    10.
    发明申请
    SYSTEMS AND METHODS OF 3D SCENE SEGMENTATION AND MATCHING FOR ROBOTIC OPERATIONS 审中-公开

    公开(公告)号：US20200005072A1

    公开(公告)日：2020-01-02

    申请号：US16022160

    申请日：2018-06-28

    Applicant: General Electric Company

    Inventor： Huan TAN ,  Gyeong Woo CHEON ,  Jilin TU ,  Li ZHANG

    IPC: G06K9/46 ,  G06F17/30 ,  G06K9/00 ,  B25J9/16

    Abstract: A method and system, the method including receive image data representations of a set of images of a physical asset; receive a data model of at least one asset, the data model of each of the at least one assets including a semantic description of the respective modeled asset and at least one operation associated with the respective modeled asset; determine a match between the received image data and the data model of one of the at least one assets based on a correspondence therebetween; generate, for the data model determined to be a match with the received image data, an operation plan based on the at least one operation included in matched data model; execute, in response to the generation of the operation plan, the generated operation plan by the physical asset.

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