System and Method for Robotic Calibration and Tuning

    公开(公告)号:US20220410397A1

    公开(公告)日:2022-12-29

    申请号:US17772370

    申请日:2019-10-29

    Abstract: A system and method for use of artificial and nature racking features to calibrate sensors and tune a robotic control system of a sensor fusion guided robotic assembly. The artificial tracking features can have a configuration, or be at a location, that may be less susceptible to noise and error. Thus, the sensors can at least initially be calibrated, and the control system initially tuned, using the first tracking features until the sensors and control system satisfy operation performance criteria. Second tracking features, which may correspond to features on a workpiece that will be utilized in an assembly operation performed by the robot. By pre-calibrating the sensors, and pre-tuning the control system prior to calibration using the second tracking features, sensor calibration and system tuning based on the second tracking features can be attained faster and with less complexity.

    System and Method for Online Optimization of Sensor Fusion Model

    公开(公告)号:US20230010651A1

    公开(公告)日:2023-01-12

    申请号:US17772656

    申请日:2019-10-29

    Abstract: A system and method for collecting data regarding operation of a robot using, at least in part, responses from a first operation model to an input of sensed data from a plurality of sensors. The collected data can be used to optimize the first operation model to generate a second operation model. While the first operation model is being optimized, a train data-driven model that utilizes an end-to-end learning approach can be generated that is based, at least in part, on the collected data. Both the second operation model and the train data-driven model can be evaluated, and, based on such evaluation, a determination can be made as to whether the train data-driven model is reliable. Moreover, based on a comparison of the models, one of the second operation model and the train data-driven model can be selected for validation, and if validated, used in the operation of the robot.

    System and Method for Robotic Evaluation

    公开(公告)号:US20220402136A1

    公开(公告)日:2022-12-22

    申请号:US17772365

    申请日:2019-10-29

    Abstract: A system and method for determining performance of a robot. In one form the robot is constructed as you assembling automotive workpieces onto an automobile assembly. In one form the robot accomplishes the task of assembling an automotive workpiece onto the automotive assembly by using vision feedback and force feedback. The vision feedback can use any number of features perform its function. Such features can include an artificial feature such as but not limited to a QR code, as well as a natural feature such as a portion of the workpiece or automotive assembly. In one embodiment the robot is capable of detecting a collision event and assessing the severity of the collision event. In another embodiment the robot is capable of evaluating its performance by attracting a performance metric against a performance threshold, and comparing a sensor fusion output with a sensor fusion output reference.

    METHOD AND SYSTEM FOR OBJECT TRACKING IN ROBOTIC VISION GUIDANCE

    公开(公告)号:US20210331322A1

    公开(公告)日:2021-10-28

    申请号:US16856508

    申请日:2020-04-23

    Applicant: ABB Schweiz AG

    Abstract: A system and method for predicting the location at which a feature that is being tracked during a robotic assembly operation will be located within one or more images captured by a vision device. A vision device can be mounted to a robot such that the location of the vision device as the robot moves can be known or determined. In the event of an interruption of the tracking of the feature by the vision device as the corresponding workpiece is moving, the location of the feature relative to a vision device can be predicted, such as, via use of current or past historical movement information for the feature and/or the associated workpiece. Using the predicted location of the feature and the known location of the vision device, the location at which the feature will be located in an image(s) captured by the vision device can be predicted.

    Product manipulation tool
    7.
    发明授权

    公开(公告)号:US11027921B2

    公开(公告)日:2021-06-08

    申请号:US16380351

    申请日:2019-04-10

    Applicant: ABB Schweiz AG

    Abstract: A product manipulation tool for interacting with products and containers at, for example, a retail facility can include a securing mechanism to secure an exposed portion of the container with respect to a horizontal surface such as a shelf. The product manipulation tool can also include a stabilizing device to stabilize the container with respect to the horizontal surface prior to securing the container. The product manipulation tool can also include a support structure for insertion underneath the container to support the load. The stabilizing mechanism may lift or tilt the container prior to insertion of the support structure. In an example, the product manipulation tool may be disposed on a mobile unit configured for locomotion about the retail facility.

    Automatic sensor conflict resolution for sensor fusion system

    公开(公告)号:US11548158B2

    公开(公告)日:2023-01-10

    申请号:US16851946

    申请日:2020-04-17

    Applicant: ABB Schweiz AG

    Abstract: A system and method that automatically resolves conflicts among sensor information in a sensor fusion robot system. Such methods can accommodate converging ambiguous and divergent sensor information in a manner that can allow continued, and relatively accurate, robotic operations. The processes can include handling sensor conflict via sensor prioritization, including, but not limited, prioritization based on the particular stage or segment of the assembly operation when the conflict occurs, overriding sensor data that exceeds a threshold value, and/or prioritization based on evaluations of recent sensor performance, predictions, system configuration, and/or historical information. The processes can include responding to sensor conflicts through comparisons of the accuracy of workpiece location predictions from different sensors during different assembly stages in connection with arriving at a determination of which sensor(s) is providing accurate and reliable predictions.

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