Abstract: Implementations relate to mitigating client device latency in rendering of remotely generated automated assistant content. Some of those implementations mitigate client device latency between rendering of multiple instances of output that are each based on content that is responsive to a corresponding automated assistant action of a multiple action request. For example, those implementations can reduce latency between rendering of first output that is based on first content responsive to a first automated assistant action of a multiple action request, and second output that is based on second content responsive to a second automated assistant action of the multiple action request.

Abstract: Implementations herein relate to information describing one or more internal states of a technical system. Implementations herein are provided for characterizing reliability of various different third party servers, at least when reporting third party device statuses, as well as adapting protocols for device ecosystems affected by such reliability. Latency can affect accuracy of device states represented by assistant devices. Certain servers can be characterized as especially delayed when reporting an updated device state in response to a user request, and, as a result, the third party server can be correlated to a metric that characterizes the relative latency of the third party server. When the metric fails to satisfy a particular threshold, a server and/or client associated with the “ecosystem” of third party devices can affirmatively operate to retrieve device state updates, rather than passively await updates from a corresponding third party server.

Abstract: Methods, apparatus, systems, and computer-readable media for engaging an automated assistant to perform multiple tasks through a multitask command. The multitask command can be a command that, when provided by a user, causes the automated assistant to invoke multiple different agent modules for performing tasks to complete the multitask command. During execution of the multitask command, a user can provide input that can be used by one or more agent modules to perform their respective tasks. Furthermore, feedback from one or more agent modules can be used by the automated assistant to dynamically alter tasks in order to more effectively use resources available during completion of the multitask command.

Abstract: In response to a user interacting with a tangible peripheral assistant control device (e.g., depressing a button of the device), causing an automated assistant to perform one or more actions. The action(s) performed can be based on input previously provided by the user in configuring the peripheral assistant control device. The action(s) performed in response to interaction with the peripheral assistant control device can vary based on one or more conditions, such as which user is currently active, where the peripheral assistant control device is currently located (which can optionally be inferred based on which of multiple assistant computing devices the button is paired with), and/or the current state of one or more smart devices and/or other devices (e.g., as determined based on a device topology). A utility of the peripheral assistant control device can be automatically extended beyond what was specifically requested by a user during configuration.

Abstract: Efficient control and/or linking of smart network connected devices. Some implementations are directed to rendering, within an active application that enables control of multiple smart devices from multiple parties, both: (1) an interactive graphical interface element that, when interacted with, causes corresponding control of smart device(s) of a third-party (3P); and (2) a selectable element that, when selected, causes execution of a deeplink to cause a 3P application to open in a state that presents additional information for the smart device(s). Some implementations are additionally or alternatively directed to, in response to determining that a 3P application is installed at a client device, but a smart device topology lacks any entries for 3P smart devices of the 3P, efficiently adding one or more particular smart devices of the 3P to the smart device topology.

Abstract: In one example, a method includes receiving audio data generated by one or more microphones of a computing device, the audio data representing a spoken utterance; identifying, based on the audio data, a user that provided the spoken utterance; identifying, based on the audio data, an automation action associated with one or more automation devices, the automation action corresponding to the spoken utterance; determining whether the identified user is authorized to cause performance of the identified automation action; and responsive to determining that the identified user is authorized to cause performance of the identified automation action, causing the one or more automation devices to perform the identified automation action.

Abstract: Implementations relate to mitigating client device latency in rendering of remotely generated automated assistant content. Some of those implementations mitigate client device latency between rendering of multiple instances of output that are each based on content that is responsive to a corresponding automated assistant action of a multiple action request. For example, those implementations can reduce latency between rendering of first output that is based on first content responsive to a first automated assistant action of a multiple action request, and second output that is based on second content responsive to a second automated assistant action of the multiple action request.

Abstract: Methods, apparatus, systems, and computer-readable media for engaging an automated assistant to perform multiple tasks through a multitask command. The multitask command can be a command that, when provided by a user, causes the automated assistant to invoke multiple different agent modules for performing tasks to complete the multitask command. During execution of the multitask command, a user can provide input that can be used by one or more agent modules to perform their respective tasks. Furthermore, feedback from one or more agent modules can be used by the automated assistant to dynamically alter tasks in order to more effectively use resources available during completion of the multitask command.

Abstract: Generating and/or recommending command bundles for a user of an automated assistant. A command bundle comprises a plurality of discrete actions that can be performed by an automated assistant. One or more of the actions of a command bundle can cause transmission of a corresponding command and/or other data to one or more devices and/or agents that are distinct from devices and/or agents to which data is transmitted based on other action(s) of the bundle. Implementations determine command bundles that are likely relevant to a user, and present those command bundles as suggestions to the user. In some of those implementations, a machine learning model is utilized to generate a user action embedding for the user, and a command bundle embedding for each of a plurality of command bundles. Command bundle(s) can be selected for suggestion based on comparison of the user action embedding and the command bundle embeddings.

Abstract: Efficient control and/or linking of smart network connected devices. Some implementations are directed to rendering, within an active application that enables control of multiple smart devices from multiple parties, both: (1) an interactive graphical interface element that, when interacted with, causes corresponding control of smart device(s) of a third-party (3P); and (2) a selectable element that, when selected, causes execution of a deeplink to cause a 3P application to open in a state that presents additional information for the smart device(s). Some implementations are additionally or alternatively directed to, in response to determining that a 3P application is installed at a client device, but a smart device topology lacks any entries for 3P smart devices of the 3P, efficiently adding one or more particular smart devices of the 3P to the smart device topology.

Abstract: In one example, a method includes receiving audio data generated by one or more microphones of a computing device, the audio data representing a spoken utterance; identifying, based on the audio data, a user that provided the spoken utterance; identifying, based on the audio data, an automation action associated with one or more automation devices, the automation action corresponding to the spoken utterance; determining whether the identified user is authorized to cause performance of the identified automation action; and responsive to determining that the identified user is authorized to cause performance of the identified automation action, causing the one or more automation devices to perform the identified automation action.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for tailoring composite graphical assistant interfaces for interacting with multiple different connected devices. The composite graphical assistant interfaces can be generated in response to a user providing a request for an automated assistant to cause a connected device to perform a particular function. In response to the automated assistant receiving the request, the automated assistant can identify other connected devices, and other functions capable of being performed by the other connected devices. The other functions can then be mapped to various graphical control elements in order to provide a composite graphical assistant interface from which the user can interact with different connected devices. Each graphical control element can be arranged to reflect how each connected device is operating simultaneous to the presentation of the composite graphical assistant interface.

Abstract: Transferring (e.g., automatically) an automated assistant routine between client devices during execution of the automated assistant routine. The automated assistant routine can correspond to a set of actions to be performed by one or more agents and/or one or more devices. While content, corresponding to an action of the routine, is being rendered at a particular device, the user may walk away from the particular device and toward a separate device. The automated assistant routine can be automatically transferred in response, and the separate device can continue to rendering the content for the user.

Abstract: Implementations discussed herein relate to systems, methods, and apparatuses for controlling one or more internet of things (IoT) devices via a graphical camera interface of a portable electronic device. The graphical camera interface can be presented at the portable electronic device in response to the user accessing a camera application via the portable electronic device and directing a camera of the portable electronic device at the IoT device. One or more images generated from an output of the camera can be processed to identify the IoT device that the user is intending to control. Information related to a context in which the user aimed their camera at the IoT device can be used to assist in narrowing down a selection of the IoT device from multiple different IoT devices that may be associated with the user and/or an image captured by the camera.

Abstract: Generating and/or recommending command bundles for a user of an automated assistant. A command bundle comprises a plurality of discrete actions that can be performed by an automated assistant. One or more of the actions of a command bundle can cause transmission of a corresponding command and/or other data to one or more devices and/or agents that are distinct from devices and/or agents to which data is transmitted based on other action(s) of the bundle. Implementations determine command bundles that are likely relevant to a user, and present those command bundles as suggestions to the user. In some of those implementations, a machine learning model is utilized to generate a user action embedding for the user, and a command bundle embedding for each of a plurality of command bundles. Command bundle(s) can be selected for suggestion based on comparison of the user action embedding and the command bundle embeddings.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for tailoring composite graphical assistant interfaces for interacting with multiple different connected devices. The composite graphical assistant interfaces can be generated in response to a user providing a request for an automated assistant to cause a connected device to perform a particular function. In response to the automated assistant receiving the request, the automated assistant can identify other connected devices, and other functions capable of being performed by the other connected devices. The other functions can then be mapped to various graphical control elements in order to provide a composite graphical assistant interface from which the user can interact with different connected devices. Each graphical control element can be arranged to reflect how each connected device is operating simultaneous to the presentation of the composite graphical assistant interface.

Abstract: Transferring (e.g., automatically) an automated assistant routine between client devices during execution of the automated assistant routine. The automated assistant routine can correspond to a set of actions to be performed by one or more agents and/or one or more devices. While content, corresponding to an action of the routine, is being rendered at a particular device, the user may walk away from the particular device and toward a separate device. The automated assistant routine can be automatically transferred in response, and the separate device can continue to rendering the content for the user.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for tailoring composite graphical assistant interfaces for interacting with multiple different connected devices. The composite graphical assistant interfaces can be generated proactively and/or in response to a user providing a request for an automated assistant to cause a connected device to perform a particular function. In response to the automated assistant receiving the request, the automated assistant can identify other connected devices, and other functions capable of being performed by the other connected devices. The other functions can then be mapped to various graphical control elements in order to provide a composite graphical assistant interface from which the user can interact with different connected devices. Each graphical control element can be arranged to reflect how each connected device is operating simultaneous to the presentation of the composite graphical assistant interface.

Abstract: Generating and/or recommending command bundles for a user of an automated assistant. A command bundle comprises a plurality of discrete actions that can be performed by an automated assistant. One or more of the actions of a command bundle can cause transmission of a corresponding command and/or other data to one or more devices and/or agents that are distinct from devices and/or agents to which data is transmitted based on other action(s) of the bundle. Implementations determine command bundles that are likely relevant to a user, and present those command bundles as suggestions to the user. In some of those implementations, a machine learning model is utilized to generate a user action embedding for the user, and a command bundle embedding for each of a plurality of command bundles. Command bundle(s) can be selected for suggestion based on comparison of the user action embedding and the command bundle embeddings.

Abstract: Implementations discussed herein relate to systems, methods, and apparatuses for controlling one or more internet of things (IoT) devices via a graphical camera interface of a portable electronic device. The graphical camera interface can be presented at the portable electronic device in response to the user accessing a camera application via the portable electronic device and directing a camera of the portable electronic device at the IoT device. One or more images generated from an output of the camera can be processed to identify the IoT device that the user is intending to control. Information related to a context in which the user aimed their camera at the IoT device can be used to assist in narrowing down a selection of the IoT device from multiple different IoT devices that may be associated with the user and/or an image captured by the camera.