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 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.

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