Abstract: A device may receive images identifying interiors of buildings and movable objects and unmovable objects located in the interiors, and may train a machine learning model with the images to generate a trained machine learning model. The device may receive an image identifying an interior portion of a building and objects located in the interior portion, and may process the image, with the trained machine learning model, to identify a movable object and an unmovable object. The device may disregard the movable object to generate an image in which data identifying the movable object has been disregarded, and may process the image in which the data identifying the movable object has been disregarded, with a visual positioning system, to determine a location of the user device in the interior portion of the building. The device may perform one or more actions based on the location of the user device.

Abstract: Wireless communication enabled circuit breakers are described. Methods associated with such wireless communication enabled circuit breakers are also described. The wireless communication enabled circuit breakers may controlled by a remote entity. The remote entity may wirelessly case the wireless communication enabled circuit breakers to trip.

Abstract: Wireless communication enabled circuit breakers are described. Methods associated with such wireless communication enabled circuit breakers are also described. The wireless communication enabled circuit breakers may controlled by a remote entity. The remote entity may wirelessly case the wireless communication enabled circuit breakers to trip.

Abstract: A device may receive, from a vehicle device, a geographical (e.g., GNSS) location of a vehicle, and may utilize the GNSS location as a determined location of the vehicle when the GNSS location satisfies a first threshold. The device may receive, from the vehicle device, an image identifying reference points associated with the vehicle, and may process the image, with a VPS, to calculate a VPS location of the vehicle. The device may utilize the GNSS location of the vehicle as the determined location when the VPS location fails to satisfy a second threshold, and may calculate, when the VPS location of the vehicle satisfies the second threshold, coordinate sets based on groups of coordinate combinations from the GNSS location and the VPS location. The device may process the coordinate sets, with a model, to determine the determined location, and may perform actions based on the determined location.

Abstract: In some implementations, a device may receive status information for robotic devices. The status information may include locations and navigation plans of the robotic devices. The device may monitor, based on the status information, individual statuses of the robotic devices. The device may receive a mission request associated with performance of an operation. The device may select, based on the individual statuses, a first robotic device to perform the operation. The device may determine, based on a mapping of an environment, potential navigation plans associated with the first robotic device traversing the environment according to the operation. The device may select a navigation plan based on the locations and the navigation plans of the robotic devices. The device may stream navigation instructions associated with the selected navigation plan to the first robotic device to cause the first robotic device to traverse the environment according to the navigation plan.

Abstract: A device may receive images identifying interiors of buildings and movable objects and unmovable objects located in the interiors, and may train a machine learning model with the images to generate a trained machine learning model. The device may receive an image identifying an interior portion of a building and objects located in the interior portion, and may process the image, with the trained machine learning model, to identify a movable object and an unmovable object. The device may disregard the movable object to generate an image in which data identifying the movable object has been disregarded, and may process the image in which the data identifying the movable object has been disregarded, with a visual positioning system, to determine a location of the user device in the interior portion of the building. The device may perform one or more actions based on the location of the user device.

Abstract: Wireless communication enabled circuit breakers are described. Methods associated with such wireless communication enabled circuit breakers are also described. The wireless communication enabled circuit breakers may controlled by a remote entity. The remote entity may wirelessly case the wireless communication enabled circuit breakers to trip.

Abstract: A device may receive images identifying interiors of buildings and movable objects and unmovable objects located in the interiors, and may train a machine learning model with the images to generate a trained machine learning model. The device may receive an image identifying an interior portion of a building and objects located in the interior portion, and may process the image, with the trained machine learning model, to identify a movable object and an unmovable object. The device may disregard the movable object to generate an image in which data identifying the movable object has been disregarded, and may process the image in which the data identifying the movable object has been disregarded, with a visual positioning system, to determine a location of the user device in the interior portion of the building. The device may perform one or more actions based on the location of the user device.

Abstract: Wireless communication enabled circuit breakers are described. Methods associated with such wireless communication enabled circuit breakers are also described. The wireless communication enabled circuit breakers may controlled by a remote entity. The remote entity may wirelessly case the wireless communication enabled circuit breakers to trip.

Abstract: A device may receive images identifying interiors of buildings and movable objects and unmovable objects located in the interiors, and may train a machine learning model with the images to generate a trained machine learning model. The device may receive an image identifying an interior portion of a building and objects located in the interior portion, and may process the image, with the trained machine learning model, to identify a movable object and an unmovable object. The device may disregard the movable object to generate an image in which data identifying the movable object has been disregarded, and may process the image in which the data identifying the movable object has been disregarded, with a visual positioning system, to determine a location of the user device in the interior portion of the building. The device may perform one or more actions based on the location of the user device.

Abstract: A device may receive, from a vehicle device, a geographical (e.g., GNSS) location of a vehicle, and may utilize the GNSS location as a determined location of the vehicle when the GNSS location satisfies a first threshold. The device may receive, from the vehicle device, an image identifying reference points associated with the vehicle, and may process the image, with a VPS, to calculate a VPS location of the vehicle. The device may utilize the GNSS location of the vehicle as the determined location when the VPS location fails to satisfy a second threshold, and may calculate, when the VPS location of the vehicle satisfies the second threshold, coordinate sets based on groups of coordinate combinations from the GNSS location and the VPS location. The device may process the coordinate sets, with a model, to determine the determined location, and may perform actions based on the determined location.

Abstract: Wireless communication enabled circuit breakers are described. Methods associated with such wireless communication enabled circuit breakers are also described. The wireless communication enabled circuit breakers may controlled by a remote entity. The remote entity may wirelessly case the wireless communication enabled circuit breakers to trip.

Abstract: Communication enabled circuit breakers are described. Methods associated with secure communication between communication enabled circuit breakers and a panel system are described. Additionally, methods for commissioning and decommissioning such communication enabled circuit breakers in the panel system are described. The communication enabled circuit breakers may be paired with a controller and information regarding such breakers can be added to a database.