Abstract: A computer-implemented method for generating and presenting an electronic display of guidance for performing a robotic medical procedure may include receiving a plurality of prior procedure data sets; receiving or identifying objective data defining one or more of a duration or a patient outcome of the robotic medical procedure; executing an algorithm to identify a pattern across the plurality of prior procedure data sets; receiving information about an instance of the robotic medical procedure to be performed in the future for a patient outside the population; automatically generating guidance for performing the robotic medical procedure; and generating and presenting an electronic display of the guidance for performing the robotic medical procedure.

Abstract: A computer-implemented method for generating and presenting an electronic display of guidance for performing a robotic medical procedure may include receiving a plurality of prior procedure data sets; receiving or identifying objective data defining one or more of a duration or a patient outcome of the robotic medical procedure; executing an algorithm to identify a pattern across the plurality of prior procedure data sets; receiving information about an instance of the robotic medical procedure to be performed in the future for a patient outside the population; automatically generating guidance for performing the robotic medical procedure; and generating and presenting an electronic display of the guidance for performing the robotic medical procedure.

Abstract: A computer-implemented method for generating and presenting an electronic display of guidance for performing a robotic medical procedure may include receiving a plurality of prior procedure data sets; receiving or identifying objective data defining one or more of a duration or a patient outcome of the robotic medical procedure; executing an algorithm to identify a pattern across the plurality of prior procedure data sets; receiving information about an instance of the robotic medical procedure to be performed in the future for a patient outside the population; automatically generating guidance for performing the robotic medical procedure; and generating and presenting an electronic display of the guidance for performing the robotic medical procedure.

Abstract: Various embodiments of the present technology generally relate to power topology discovery in industrial environments. More specifically, some embodiments relate to automatic power topology discovery for factories based on device data that is already recorded for other purposes. Systems and methods described herein may be used to generate an accurate electrical network topology by collecting power data from power devices that may provide real-time or recorded measurements, detecting power change events, and matching power change signatures over power events for the devices in order to calculate the likelihoods of possible topology assumptions. Power change event data is used to recursively update topology probabilities using the Bayesian formula until a system topology can be produced with satisfactory confidence.

Abstract: A computer-implemented method for generating and presenting an electronic display of guidance for performing a robotic medical procedure may include receiving a plurality of prior procedure data sets; receiving or identifying objective data defining one or more of a duration or a patient outcome of the robotic medical procedure; executing an algorithm to identify a pattern across the plurality of prior procedure data sets; receiving information about an instance of the robotic medical procedure to be performed in the future for a patient outside the population; automatically generating guidance for performing the robotic medical procedure; and generating and presenting an electronic display of the guidance for performing the robotic medical procedure.

Abstract: Various embodiments of the present technology generally relate to power topology discovery in industrial environments. More specifically, some embodiments relate to automatic power topology discovery for factories based on device data that is already recorded for other purposes. Systems and methods described herein may be used to generate an accurate electrical network topology by collecting power data from power devices that may provide real-time or recorded measurements, detecting power change events, and matching power change signatures over power events for the devices in order to calculate the likelihoods of possible topology assumptions. Power change event data is used to recursively update topology probabilities using the Bayesian formula until a system topology can be produced with satisfactory confidence.

Abstract: A computer-implemented method for generating and presenting an electronic display of guidance for performing a robotic medical procedure may include receiving a plurality of prior procedure data sets; receiving or identifying objective data defining one or more of a duration or a patient outcome of the robotic medical procedure; executing an algorithm to identify a pattern across the plurality of prior procedure data sets; receiving information about an instance of the robotic medical procedure to be performed in the future for a patient outside the population; automatically generating guidance for performing the robotic medical procedure; and generating and presenting an electronic display of the guidance for performing the robotic medical procedure.

Abstract: A component includes first and second switches in series and connected between a power source and a coil of contacts of a safety relay. A first controller controls the first switch with a close signal that closes the first switch or a first PWM signal that opens and closes the first switch on each PWM cycle. A second controller controls the second switch with a close signal that closes the second switch or a second PWM signal that opens and closes the second switch on each PWM cycle. A PWM sensing circuit connected to the coil sends a sensed PWM signal to an input of the first and second controllers. The first controller sends the first PWM signal while the second controller sends a close signal and vice-versa. The controllers verify that the received PWM signal matches the sent PWM signal.

Abstract: For function block framework generation, a method generates a function block framework for a hardware device. The function block framework includes function block framework source code and a function block framework description. The hardware device includes a logic engine and automation hardware. The function block framework presents a standard interface to a function block core executed by the logic engine. The method instantiates the function block framework and the function block core as an executable image for the hardware device. The method further configures the logic engine to execute the executable image using the function block framework description. The method executes the executable image with the logic engine.

Abstract: For function block framework generation, a method generates a function block framework for a hardware device. The function block framework includes function block framework source code and a function block framework description. The hardware device includes a logic engine and automation hardware. The function block framework presents a standard interface to a function block core executed by the logic engine. The method instantiates the function block framework and the function block core as an executable image for the hardware device. The method further configures the logic engine to execute the executable image using the function block framework description. The method executes the executable image with the logic engine.

Abstract: A computer-implemented method for generating and presenting an electronic display of guidance for performing a robotic medical procedure may include receiving a plurality of prior procedure data sets; receiving or identifying objective data defining one or more of a duration or a patient outcome of the robotic medical procedure; executing an algorithm to identify a pattern across the plurality of prior procedure data sets; receiving information about an instance of the robotic medical procedure to be performed in the future for a patient outside the population; automatically generating guidance for performing the robotic medical procedure; and generating and presenting an electronic display of the guidance for performing the robotic medical procedure.

Abstract: A computer-implemented method for generating and presenting an electronic display of guidance for performing a robotic medical procedure may include receiving a plurality of prior procedure data sets; receiving or identifying objective data defining one or more of a duration or a patient outcome of the robotic medical procedure; executing an algorithm to identify a pattern across the plurality of prior procedure data sets; receiving information about an instance of the robotic medical procedure to be performed in the future for a patient outside the population; automatically generating guidance for performing the robotic medical procedure; and generating and presenting an electronic display of the guidance for performing the robotic medical procedure.

Abstract: A computer-implemented method for generating and presenting an electronic display of guidance for performing a robotic medical procedure may include receiving a plurality of prior procedure data sets; receiving or identifying objective data defining one or more of a duration or a patient outcome of the robotic medical procedure; executing an algorithm to identify a pattern across the plurality of prior procedure data sets; receiving information about an instance of the robotic medical procedure to be performed in the future for a patient outside the population; automatically generating guidance for performing the robotic medical procedure; and generating and presenting an electronic display of the guidance for performing the robotic medical procedure.