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公开(公告)号:US20220410397A1
公开(公告)日:2022-12-29
申请号:US17772370
申请日:2019-10-29
申请人: Biao Zhang , ABB Schweiz AG
发明人: Biao Zhang , Saumya Sharma , Yixin Liu , Jianjun Wang , William J. Eakins , Andrew M. Salm , Yun Hsuan Su , Jorge Vidal-Ribas , Jordi Artigas , Ramon Casanelles
IPC分类号: B25J9/16
摘要: 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.
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公开(公告)号:US20230010651A1
公开(公告)日:2023-01-12
申请号:US17772656
申请日:2019-10-29
申请人: Biao ZHANG , ABB Schweiz AG
发明人: Biao Zhang , Saumya Sharma , Yixin Liu , Jianjun Wang , Jorge Vidal-Ribas , Jordi Artigas , Ramon Casanelles
摘要: 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.
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公开(公告)号:US20220402136A1
公开(公告)日:2022-12-22
申请号:US17772365
申请日:2019-10-29
申请人: Biao Zhang , ABB Schweiz AG
发明人: Biao Zhang , Saumya Sharma , Yixin Liu , Jianjun Wang , Will Eakins , Andrew Salm , Yun Hsuan Su , Jorge Vidal-Ribas , Ramon Casanelles , Jordi Artigas
摘要: 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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公开(公告)号:US11518027B2
公开(公告)日:2022-12-06
申请号:US16864804
申请日:2020-05-01
申请人: ABB Schweiz AG
发明人: Biao Zhang , Saumya Sharma , Yixin Liu , Jianjun Wang , Will Eakins , Andrew M. Salm , Yun Hsuan Su , Jorge Vidal-Ribas , Jordi Artigas , Ramon Casanelles
摘要: A robotic system is provided for assembling parts together. In the assembly process, both parts are moving separately with one part moving on an assembly base and another part moving on a moveable arm of a robot base. Motion data is measured by an inertial measurement unit (IMU) sensor. Movement of the robot base or moveable arm is then compensated based on the measured motion to align the first and second parts with each other and assemble the parts together.
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公开(公告)号:US20210331322A1
公开(公告)日:2021-10-28
申请号:US16856508
申请日:2020-04-23
申请人: ABB Schweiz AG
发明人: Biao Zhang , Jianjun Wang , Yixin Liu , Saumya Sharma , Jorge Vidal-Ribas , Jordi Artigas , Ramon Casanelles
摘要: 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.
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公开(公告)号:US20210339387A1
公开(公告)日:2021-11-04
申请号:US16864804
申请日:2020-05-01
申请人: ABB Schweiz AG
发明人: Biao Zhang , Saumya Sharma , Yixin Liu , Jianjun Wang , Will Eakins , Andrew M. Salm , Yun Hsuan Su , Jorge Vidal-Ribas , Jordi Artigas , Ramon Casanelles
摘要: A robotic system is provided for assembling parts together. In the assembly process, both parts are moving separately with one part moving on an assembly base and another part moving on a moveable arm of a robot base. Motion data is measured by an inertial measurement (IMU) sensor. Movement of the robot base or moveable arm is then compensated based on the measured motion to align the first and second parts with each other and assemble the parts together.
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公开(公告)号:US20210023715A1
公开(公告)日:2021-01-28
申请号:US16521025
申请日:2019-07-24
申请人: ABB Schweiz AG
发明人: Biao Zhang , Yixin Liu , Thomas A. Fuhlbrigge , Saumya Sharma
IPC分类号: B25J9/16
摘要: A system and method of object manipulation and training including providing at least one robotic hand including a plurality of grippers connected to a body and providing a plurality of cameras disposed in a periphery surface of the grippers. The method also includes providing a plurality of tactile sensors disposed in the periphery surface of the grippers and actuating the grippers to grasp an object. The method further includes detecting a position of the object with respect to the robotic hand via a first image feed from the tactile sensors and detecting a position of the object with respect to the robotic hand via a second image feed from the cameras. The method also includes generating instructions to grip and manipulate an orientation of the object based on the first and the second image feeds for a visualization of the object relative to the robotic hand.
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公开(公告)号:US20180347797A1
公开(公告)日:2018-12-06
申请号:US15609879
申请日:2017-05-31
申请人: ABB Schweiz AG
发明人: Nolan W. Nicholas , Saumya Sharma , Yixin Liu
IPC分类号: F21V23/04 , H05B33/08 , G01J1/30 , H05B37/02 , H01L27/144
摘要: A light emitting diode (LED) sensor including a first LED device disposed on a support and configured to emit a radiation, and a second LED device disposed on the support and configured to receive the emitted radiation. A structure is formed on the support, the first LED device, and the second LED device. The structure defines a contoured surface. A material is located adjacently to the contoured surface, wherein the material includes a property adapted to reflect the emitted radiation from the first LED to the second LED. The structure includes an ellipsoid and the contoured surface defines an ellipsoidal surface. First and second foci are defined by the ellipsoid, wherein emitted radiation from the first LED device converges at the first foci and the second foci and is reflected to the second LED device. The device is configured to determine a temperature or a chemical property of an analyte.
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公开(公告)号:US20210339397A1
公开(公告)日:2021-11-04
申请号:US16864798
申请日:2020-05-01
申请人: ABB Schweiz AG
发明人: Biao Zhang , Saumya Sharma , Yixin Liu , Jianjun Wang , Will Eakins , Andrew M. Salm , Yun Hsuan Su , Jorge Vidal-Ribas , Jordi Artigas , Ramon Casanelles
IPC分类号: B25J9/16
摘要: A robotic assembly operation is provided for assembling a second part to a first part. During setup of the assembly operation, control parameters and a control scheme are set and changed by simulating the operation and testing whether performance requirements are met. A dry run may be performed thereafter, and test data may be collected after running the simulation to determine if the performance requirements are satisfied during the dry run. During production, production data may also be collected and control parameters may be tuned when changes occur during production in order to maintain stable assembly.
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公开(公告)号:US20210323164A1
公开(公告)日:2021-10-21
申请号:US16851946
申请日:2020-04-17
申请人: ABB Schweiz AG
发明人: Biao Zhang , Jianjun Wang , Yixin Liu , Saumya Sharma , Jorge Vidal-Ribas , Jordi Artigas , Ramon Casanelles
摘要: 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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