INDUSTRIAL ROBOT TRAINING USING MIXED REALITY

    公开(公告)号:US20190202055A1

    公开(公告)日:2019-07-04

    申请号:US15902142

    申请日:2018-02-22

    Applicant: ABB Schweiz AG

    Abstract: Unique systems, methods, techniques and apparatuses of a robot training system are disclosed. One exemplary embodiment is an industrial robot training system comprising a mixed reality display device structured to superimpose a virtual scene on a real-world view of a real-world scene including a plurality of physical objects including an industrial robot, a video input device, and a computing device. The computing device is structured to detect physical objects using video output from the video input device, generate virtual objects using the detected physical objects, simulate a virtual robot path, determine one movement of the series of robot movements causes a collision, adjust the virtual robot path so as to avoid the collision between the two virtual objects of the plurality of virtual objects, and program the industrial robot to perform a real robot path using the adjusted virtual robot path.

    SYSTEM FOR ROBOTIC 3D PRINTING
    32.
    发明申请

    公开(公告)号:US20190036337A1

    公开(公告)日:2019-01-31

    申请号:US16149907

    申请日:2018-10-02

    Applicant: ABB Schweiz AG

    Abstract: A robotic 3D printing system has a six degree of freedom (DOF) robot (12) that holds the platform (16) on which the 3D pad (15) is built on. The system uses the dexterity of the 6 DOF robot to move and rotate rue platform relative to the 3D printing head (18), which deposits the material on the platform. The system allows the part build in 3D directly with a simple printing head and depositing the material along the gravity direction. The 3D printing head is held by another robot (14) or robots. The robot movement can be calibrated to improve the accuracy and efficiency for high precision 3D part printing.

    Facilitating robot positioning
    33.
    发明授权

    公开(公告)号:US10173324B2

    公开(公告)日:2019-01-08

    申请号:US14941823

    申请日:2015-11-16

    Applicant: ABB SCHWEIZ AG

    Abstract: Robot positioning is facilitated by obtaining, for each time of a first sampling schedule, a respective indication of a pose of a camera system of a robot relative to a reference coordinate frame, the respective indication of the pose of the camera system being based on a comparison of multiple three-dimensional images of a scene of an environment, the obtaining providing a plurality of indications of poses of the camera system; obtaining, for each time of a second sampling schedule, a respective indication of a pose of the robot, the obtaining providing a plurality of indications of poses of the robot; and determining, using the plurality of indications of poses of the camera system and the plurality of indications of poses of the robot, an indication of the reference coordinate frame and an indication of a reference point of the camera system relative to pose of the robot.

    CALIBRATION ARTICLE FOR A 3D VISION ROBOTIC SYSTEM

    公开(公告)号:US20180222055A1

    公开(公告)日:2018-08-09

    申请号:US15424058

    申请日:2017-02-03

    Applicant: ABB Schweiz AG

    Abstract: A calibration article is provided for calibrating a robot and 3D camera. The calibration article includes side surfaces that are angled inward toward a top surface. The robot and camera are calibrated by capturing positional data of the calibration article relative to the robot and the camera. The captured data is used to generate correlation data between the robot and the camera. The correlation data is used by the controller to align the robot with the camera during operational use of the robot and camera.

    Method and system for object tracking in robotic vision guidance

    公开(公告)号:US11370124B2

    公开(公告)日:2022-06-28

    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.

    RECOVERY SYSTEM AND METHOD USING MULTIPLE SENSOR INPUTS

    公开(公告)号:US20210323158A1

    公开(公告)日:2021-10-21

    申请号:US16851928

    申请日:2020-04-17

    Applicant: ABB Schweiz AG

    Abstract: A system and method for automatic recovery from a failure in a robotic assembly operation using multiple sensor input. Moreover, following detection of an error in an assembly operation from data provided by a first sensor, a recovery plan can be executed, and, if successful, a reattempt at the failed assembly operation can commence. The assembly stage during which the error occurred can be detected by a second sensor that is different from the first sensor. Identification of the assembly stage can assist with determining the recovery plan, as well as identifying the assembly operation that is to be reattempted. The failure can be detected by comparing information obtained from a sensor, such as, for example, a force signature, with corresponding historical information, including historical information obtained at the identified assembly stage for prior workpieces.

    Method of Automated Calibration for In-Hand Object Location System

    公开(公告)号:US20210023713A1

    公开(公告)日:2021-01-28

    申请号:US16521061

    申请日:2019-07-24

    Applicant: ABB Schweiz AG

    Abstract: A method of automated in-hand calibration including providing at least one robotic hand including a plurality of grippers connected to a body and providing at least one camera disposed on a periphery surface of the plurality of grippers. The method also includes providing at least one tactile sensor disposed in the at least one illumination surface and actuating the plurality of grippers to grasp an object. The method further includes locating a position of the object with respect to the at least one robotic hand and calibrating a distance parameter via the at least one camera. The method also includes calibrating the at least one tactile sensor with the at least one camera and generating instructions to grip and manipulate an orientation of the object via an image feed from the at least one camera for a visualization of the object.

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