Abstract: In some embodiments, a robotic process automation (RPA) design application provides a user-friendly graphical user interface that unifies the design of automation activities performed on desktop computers with the design of automation activities performed on mobile computing devices such as smartphones and wearable computers. Some embodiments connect to a model device acting as a substitute for an actual automation target device (e.g., smartphone of specific make and model) and display a model GUI mirroring the output of the respective model device. Some embodiments further enable the user to design an automation workflow by directly interacting with the model GUI.

Abstract: A method for operating a motor vehicle having at least one vehicle communication arrangement fixed to the body. Signals are emitted by a user device, which can be handled independently of the motor vehicle and can be assigned or is assigned to a driver of the motor vehicle, and are received by the vehicle communication arrangement. A distance between the user device and the motor vehicle is monitored on the basis of the received signals. Provision is made for the distance to be monitored during operation of the motor vehicle and for a safety operating state of the motor vehicle to be activated when a distance exceeding a predefined threshold value is detected.

Abstract: A method for operating a motor vehicle. A deviation of a current driving position of a driver of the motor vehicle from an expected reference driving position of the driver is determined, and the motor vehicle is controlled depending on the determined deviation.

Abstract: In some embodiments, a robotic process automation (RPA) design application provides a user-friendly graphical user interface that unifies the design of automation activities performed on desktop computers with the design of automation activities performed on mobile computing devices such as smartphones and wearable computers. Some embodiments connect to a model device acting as a substitute for an actual automation target device (e.g., smartphone of specific make and model) and display a model GUI mirroring the output of the respective model device. Some embodiments further enable the user to design an automation workflow by directly interacting with the model GUI.

Abstract: A vehicle transmission includes a hydraulic circuit and a control unit. The control unit is configured to: obtain (20) a target pressure specification; convert (26) the target pressure specification into a target volume flow rate; determine (42) a valve volume flow rate as a function of the target volume flow rate and as a function of parameters that represent system properties of the hydraulic circuit; determine (46) a pressure drop at a valve due to flow forces as a function of the valve volume flow rate; determine (48) a compensated valve output pressure as a function of the valve volume flow rate and the pressure drop; determine (58) the electric control current as a function of the compensated valve output pressure; and activate a valve with the electric control current.

Abstract: An electronic device may include radar circuitry. Control circuitry may calibrate the radar circuitry using a multi-tone calibration signal. A first mixer may upconvert the calibration signal for transmission by a transmit antenna. A de-chirp mixer may mix the calibration signal output by the first mixer with the calibration signal as received by a receive antenna or loopback path to produce a baseband multi-tone calibration signal. The baseband signal will be offset from DC by the frequency gap. This may prevent DC noise or other system effects from interfering with the calibration signal. The control circuitry may sweep the first mixer over the radio frequencies of operation of the radar circuitry to estimate the power droop and phase shift of the radar circuitry based on baseband calibration signal. Distortion circuitry may distort transmit signals used in spatial ranging operations to invert the estimated power droop and phase shift.

Abstract: An electronic device may include radar circuitry. Control circuitry may calibrate the radar circuitry using a multi-tone calibration signal. A first mixer may upconvert the calibration signal for transmission by a transmit antenna. A de-chirp mixer may mix the calibration signal output by the first mixer with the calibration signal as received by a receive antenna or loopback path to produce a baseband multi-tone calibration signal. The baseband signal will be offset from DC by the frequency gap. This may prevent DC noise or other system effects from interfering with the calibration signal. The control circuitry may sweep the first mixer over the radio frequencies of operation of the radar circuitry to estimate the power droop and phase shift of the radar circuitry based on baseband calibration signal. Distortion circuitry may distort transmit signals used in spatial ranging operations to invert the estimated power droop and phase shift.

Abstract: A robot design interface comprises tools for testing a robotic process automation (RPA) workflow. Some embodiments automatically generate a mock workflow comprising a duplicate of an original workflow, wherein a set of RPA activities are replaced with substitute activities for testing purposes. Some embodiments expose an intuitive interface co-displaying the substitute activities in parallel to their respective original activities and enabling a user to configure various mock parameters. Testing is then carried out on the mock workflow.

Abstract: In some embodiments, a robotic process automation (RPA) design application provides a user-friendly graphical user interface that unifies the design of automation activities performed on desktop computers with the design of automation activities performed on mobile computing devices such as smartphones and wearable computers. Some embodiments connect to a model device acting as a substitute for an actual automation target device (e.g., smartphone of specific make and model) and display a model GUI mirroring the output of the respective model device. Some embodiments further enable the user to design an automation workflow by directly interacting with the model GUI.

Abstract: In some embodiments, a robotic process automation (RPA) design application provides a user-friendly graphical user interface that unifies the design of automation activities performed on desktop computers with the design of automation activities performed on mobile computing devices such as smartphones and wearable computers. Some embodiments connect to a model device acting as a substitute for an actual automation target device (e.g., smartphone of specific make and model) and display a model GUI mirroring the output of the respective model device. Some embodiments further enable the user to design an automation workflow by directly interacting with the model GUI.

Abstract: A robot design interface comprises tools for testing a robotic process automation (RPA) workflow. Some embodiments automatically generate a mock workflow comprising a duplicate of the original workflow wherein a set of RPA activities are replaced with substitute activities for testing purposes. Some embodiments expose an intuitive interface co-displaying the substitute activities in parallel to their respective original activities and enabling a user to configure various mock parameters. Testing is then carried out on the mock workflow.

Abstract: In some embodiments, a robotic process automation (RPA) design application provides a user-friendly graphical user interface that unifies the design of automation activities performed on desktop computers with the design of automation activities performed on mobile computing devices such as smartphones and wearable computers. Some embodiments connect to a model device acting as a substitute for an actual automation target device (e.g. smartphone of specific make and model) and display a model GUI mirroring the output of the respective model device. Some embodiments further enable the user to design an automation workflow by directly interacting with the model GUI.

Abstract: A collection of compressible particles. The compressible particles are intended to be used for attenuating pressure build-up within a confined volume such as a trapped annulus in a wellbore. Each of the compressible particles is fabricated to collapse in response to fluid pressure within the confined volume, and comprises carbon. Particularly, each of the particles comprises a plurality of peripheral openings, permitting an ingress of wellbore fluids in response to an increase in pressure within a trapped annulus. The collection of compressible particles together has a reversible volumetric expansion/contraction of ?10% and up to 25% at pressures up to 10,000 psi. A method of attenuating annular pressure buildup within a wellbore using the collection of compressible particles is also provided.

Abstract: Semantic matching between a source screen or source data and a target screen using semantic artificial intelligence (AI) for robotic process automation (RPA) workflows is disclosed. The source data or source screen and the target screen are selected on a matching interface, semantic matching is performed between the source data/screen and the target screen using an artificial intelligence/machine learning (AI/ML) model, and matching graphical elements and unmatched graphical elements are highlighted, allowing the developer to see which graphical elements match and which do not. The matching interface may also provide a confidence score of the individual matches, provide an overall mapping score, and allow the developer to hide/unhide the matched/unmatched graphical elements. Activities of an RPA workflow may be automatically created based on the semantic mapping that can be executed to perform the automation.

Abstract: Semantic matching between a source screen or source data and a target screen using semantic artificial intelligence (AI) for robotic process automation (RPA) workflows is disclosed. The source data or source screen and the target screen are selected on a matching interface, semantic matching is performed between the source data/screen and the target screen using an artificial intelligence/machine learning (AI/ML) model, and matching graphical elements and unmatched graphical elements are highlighted, allowing the developer to see which graphical elements match and which do not. The matching interface may also provide a confidence score of the individual matches, provide an overall mapping score, and allow the developer to hide/unhide the matched/unmatched graphical elements. Activities of an RPA workflow may be automatically created based on the semantic mapping that can be executed to perform the automation.

Abstract: A system and a computer-implemented method for analyzing workflow of test automation associated with a robotic process automation (RPA) application are disclosed herein. The computer-implemented method includes receiving the workflow of the test automation associated with the RPA application and analyzing, via an Artificial Intelligence (AI) model associated with a workflow analyzer module, the workflow of the test automation based on a set of pre-defined test automation rules. The computer-implemented method further includes determining one or more metrics associated with the analyzed workflow of the test automation and generating, via the AI model, corrective activity data based on the determined one or more metrics.

Abstract: A robot design interface comprises tools for testing a robotic process automation (RPA) workflow. Some embodiments automatically generate a mock workflow comprising a duplicate of the original workflow wherein a set of RPA activities are replaced with substitute activities for testing purposes. Some embodiments expose an intuitive interface co-displaying the substitute activities in parallel to their respective original activities and enabling a user to configure various mock parameters. Testing is then carried out on the mock workflow.

Abstract: In some embodiments, a robotic process automation (RPA) design application provides a user-friendly graphical user interface that unifies the design of automation activities performed on desktop computers with the design of automation activities performed on mobile computing devices such as smartphones and wearable computers. Some embodiments connect to a model device acting as a substitute for an actual automation target device (e.g. smartphone of specific make and model) and display a model GUI mirroring the output of the respective model device. Some embodiments further enable the user to design an automation workflow by directly interacting with the model GUI.

Abstract: An electronic device may include radar circuitry. Control circuitry may calibrate the radar circuitry using a multi-tone calibration signal. A first mixer may upconvert the calibration signal for transmission by a transmit antenna. A de-chirp mixer may mix the calibration signal output by the first mixer with the calibration signal as received by a receive antenna or loopback path to produce a baseband multi-tone calibration signal. The baseband signal will be offset from DC by the frequency gap. This may prevent DC noise or other system effects from interfering with the calibration signal. The control circuitry may sweep the first mixer over the radio frequencies of operation of the radar circuitry to estimate the power droop and phase shift of the radar circuitry based on baseband calibration signal. Distortion circuitry may distort transmit signals used in spatial ranging operations to invert the estimated power droop and phase shift.

Abstract: A robot design interface comprises tools for testing a robotic process automation (RPA) workflow. Some embodiments automatically generate a mock workflow comprising a duplicate of the original workflow wherein a set of RPA activities are replaced with substitute activities for testing to purposes. Some embodiments expose an intuitive interface co-displaying the substitute activities in parallel to their respective original activities and enabling a user to configure various mock parameters. Testing is then carried out on the mock workflow.