Abstract: A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive sensory datasets associated with an industrial automation system from sensors, receive positioning data via an extended reality device associated with a user, determine a first virtual positioning of the user in a virtual coordinate system based on the positioning data, determine a second virtual positioning of an industrial automation system in the virtual coordinate system based on the sensory datasets, determine output representative data to be presented by the extended reality device based on the plurality of sensory datasets and in accordance to the first virtual positioning relative to the second virtual positioning, and instruct the extended reality device to present the output representative data.

Abstract: A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive sensory datasets associated with an industrial automation system, determine context information based on a sensory dataset and representative of an environmental condition, predict an intent of a user to complete a task associated with the industrial automation system based on the sensory datasets and the context information, present first output representative data via an extended reality device based on the intent and a setting, the setting including a data presentation format for presenting the sensory datasets, receive inputs indicative of changes to the data presentation format, present second output representative data via the extended reality device in response to receiving the inputs, and update the setting based on the inputs and historical data indicative of users changing the data presentation format of the first output r

Abstract: A tangible, non-transitory, computer-readable medium includes instructions.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive, from first sensors, first sensory datasets associated with an industrial automation system, receive, from second sensors, second sensory datasets associated with a machine configured to perform mechanical operations, determine a position of the machine relative to the industrial automation system based on the first sensory datasets and the second sensory datasets, determine output representative data associated with the industrial automation system based on the first sensory datasets and the second sensory datasets and in accordance with the position of the machine relative to the industrial automation system, instruct an extended reality device to present the output representative data, determine movement of components of the machine, and instruct the extended reality device to present feedback based on the movement of the components.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive sensory datasets associated with an industrial automation system from sensors, receive positioning data via an extended reality device associated with a user, determine a first virtual positioning of the user in a virtual coordinate system based on the positioning data, determine a second virtual positioning of an industrial automation system in the virtual coordinate system based on the sensory datasets, determine output representative data to be presented by the extended reality device based on the plurality of sensory datasets and in accordance to the first virtual positioning relative to the second virtual positioning, and instruct the extended reality device to present the output representative data.

Abstract: A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive user input indicative of a selection of a user experience of a plurality of user experiences. The plurality of user experiences include a first user experience associated with a first event that occurred in an industrial automation system at a first time prior to receiving the user input and a second user experience associated with a second event expected to occur in the industrial automation system at a second time after receiving the user input. When executed, the instructions also cause the processing circuitry to determine, based on the user input, output representative data associated with the industrial automation system and instruct an extended reality device to present the output representative data.

Abstract: A tangible, non-transitory, computer-readable medium includes instructions.

Abstract: A method may include receiving, via a processor, image data associated with a user's surrounding and generating, via the processor, a visualization that may include a virtual industrial automation device. The virtual industrial automation device may depict a virtual object within image data, and the virtual object may correspond to a physical industrial automation device. The method may include displaying, via the processor, the visualization via an electronic display and detecting, via the processor, a gesture in image data that may include the user's surrounding and the visualization. The gesture may be indicative of a request to move the virtual industrial automation device. The method may include tracking, via the processor, a user's movement, generating, via the processor, a visualization that may include an animation of the virtual industrial automation device moving based on the user's movement, and displaying, via the processor, the visualization via the electronic display.

Abstract: A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive sensory datasets associated with an industrial automation system, determine context information based on a sensory dataset and representative of an environmental condition, predict an intent of a user to complete a task associated with the industrial automation system based on the sensory datasets and the context information, present first output representative data via an extended reality device based on the intent and a setting, the setting including a data presentation format for presenting the sensory datasets, receive inputs indicative of changes to the data presentation format, present second output representative data via the extended reality device in response to receiving the inputs, and update the setting based on the inputs and historical data indicative of users changing the data presentation format of the first output r

Abstract: A system includes a training system configured to display first image data and a remote expert system configured to display second image data that corresponds to the first image data, receive feedback data associated with the second image data, and transmit a command to the training system based on the feedback data. The command is configured to modify the first image data presented via the training system.

Abstract: A non-transitory computer-readable medium includes computer-executable instructions that, when executed by at least one processor, are configured to cause the at least one processor to receive an inquiry from a training system, in which the inquiry includes a request for assistance to perform a first operation, retrieve a training profile for the first operation from a database based on the inquiry, and transmit the training profile to the training system, in which the training system is configured to present image data, audio data, or both regarding the first operation based on the training profile. The computer-executable instructions are also configured to cause the at least one processor to receive variant feedback from the training system, generate an updated training profile based on the variant feedback, store the updated training profile in the database.

Abstract: A method may include receiving, via a processor, image data associated with a user's surrounding and generating, via the processor, a visualization that may include a virtual industrial automation device. The virtual industrial automation device may depict a virtual object within image data, and the virtual object may correspond to a physical industrial automation device. The method may include displaying, via the processor, the visualization via an electronic display and detecting, via the processor, a gesture in image data that may include the user's surrounding and the visualization. The gesture may be indicative of a request to move the virtual industrial automation device. The method may include tracking, via the processor, a user's movement, generating, via the processor, a visualization that may include an animation of the virtual industrial automation device moving based on the user's movement, and displaying, via the processor, the visualization via the electronic display.

Abstract: A non-transitory computer-readable medium includes computer-executable instructions that, when executed by at least one processor, may cause the at least one processor to retrieve a first training profile of a plurality of training profiles from a database, identify a plurality of index keywords in a respective training content of the first training profile, in which the respective training content includes audio data, video data, or both, and divide the first training profile into a plurality of sections based on the plurality of index keywords. Each of the plurality of sections is selectable for playback.

Abstract: A method may include receiving, via a processor, image data associated with a user's surrounding and generating, via the processor, a visualization that may include a virtual industrial automation device. The virtual industrial automation device may depict a virtual object within image data, and the virtual object may correspond to a physical industrial automation device. The method may include displaying, via the processor, the visualization via an electronic display and detecting, via the processor, a gesture in image data that may include the user's surrounding and the visualization. The gesture may be indicative of a request to move the virtual industrial automation device. The method may include tracking, via the processor, a user's movement, generating, via the processor, a visualization that may include an animation of the virtual industrial automation device moving based on the user's movement, and displaying, via the processor, the visualization via the electronic display.

Abstract: A system for monitoring an industrial system may have a computing device that generates a first three-dimensional (3D) visualization based on 3D video associated with an industrial system. The first 3D visualization may have one or more 3D device visualizations of industrial automation devices, and each 3D device visualization of the industrial automation devices that may depict a 3D object that corresponds to an industrial automation device in the industrial system. The computing device may display the first 3D visualization via an electronic display and detect a gesture in a first set of image data comprising the surrounding of the user and the first 3D visualization. The gesture is indicative of a modification associated with the first 3D visualization. The computing device may receive additional 3D video associated with the industrial system, generate a second 3D visualization based on the modification and the additional 3D video, and display the second 3D visualization via the electronic display.

Abstract: A method may include receiving, via a processor, image data associated with a user's surrounding and generating, via the processor, a visualization that may include a virtual industrial automation device. The virtual industrial automation device may depict a virtual object within image data, and the virtual object may correspond to a physical industrial automation device. The method may include displaying, via the processor, the visualization via an electronic display and detecting, via the processor, a gesture in image data that may include the user's surrounding and the visualization. The gesture may be indicative of a request to move the virtual industrial automation device. The method may include tracking, via the processor, a user's movement, generating, via the processor, a visualization that may include an animation of the virtual industrial automation device moving based on the user's movement, and displaying, via the processor, the visualization via the electronic display.

Abstract: A non-transitory computer-readable medium includes computer-executable instructions that, when executed by at least one processor, may cause the at least one processor to retrieve a first training profile of a plurality of training profiles from a database, identify a plurality of index keywords in a respective training content of the first training profile, in which the respective training content includes audio data, video data, or both, and divide the first training profile into a plurality of sections based on the plurality of index keywords. Each of the plurality of sections is selectable for playback.

Abstract: A system includes a training system configured to display first image data and a remote expert system configured to display second image data that corresponds to the first image data, receive feedback data associated with the second image data, and transmit a command to the training system based on the feedback data. The command is configured to modify the first image data presented via the training system.

Abstract: A non-transitory computer-readable medium includes computer-executable instructions that, when executed by at least one processor, are configured to cause the at least one processor to receive an inquiry from a training system, in which the inquiry includes a request for assistance to perform a first operation, retrieve a training profile for the first operation from a database based on the inquiry, and transmit the training profile to the training system, in which the training system is configured to present image data, audio data, or both regarding the first operation based on the training profile. The computer-executable instructions are also configured to cause the at least one processor to receive variant feedback from the training system, generate an updated training profile based on the variant feedback, store the updated training profile in the database.

Abstract: A system for monitoring an industrial system may have a computing device that generates a first three-dimensional (3D) visualization based on 3D video associated with an industrial system. The first 3D visualization may have one or more 3D device visualizations of industrial automation devices, and each 3D device visualization of the industrial automation devices that may depict a 3D object that corresponds to an industrial automation device in the industrial system. The computing device may display the first 3D visualization via an electronic display and detect a gesture in a first set of image data comprising the surrounding of the user and the first 3D visualization. The gesture is indicative of a modification associated with the first 3D visualization. The computing device may receive additional 3D video associated with the industrial system, generate a second 3D visualization based on the modification and the additional 3D video, and display the second 3D visualization via the electronic display.