Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through edge devices. The multi-edge alert definition is decomposed decompose into individual edge alert sub-definitions. Each of the individual edge alert sub-definitions is evaluated using data from individual ones of the edge devices. An alert is triggered based on one of the individual edge alert sub-definitions being met.

A method includes receiving, by a control system of a robotic device, data about an object in an environment from a remote computing device, where the data comprises at least location data and identifier data. The method further includes, based on the location data, causing at least one appendage of the robotic device to move through a predetermined learning motion path. The method additionally includes, while the at least one appendage moves through the predetermined learning motion path, causing one or more visual sensors to capture a plurality of images for potential association with the identifier data. The method further includes sending, to the remote computing device, the plurality of captured images to be displayed on a display interface of the remote computing device.

A method includes determining, for a robotic device that comprises a perception system, a robot planner state representing at least one future path for the robotic device in an environment. The method also includes determining a perception system trajectory by inputting at least the robot planner state into a machine learning model trained based on training data comprising at least a plurality of robot planner states corresponding to a plurality of operator-directed perception system trajectories. The method further includes controlling, by the robotic device, the perception system to move through the determined perception system trajectory.

A method includes receiving, by a control system of a robotic device, data about an object in an environment from a remote computing device, where the data comprises at least location data and identifier data. The method further includes, based on the location data, causing at least one appendage of the robotic device to move through a predetermined learning motion path. The method additionally includes, while the at least one appendage moves through the predetermined learning motion path, causing one or more visual sensors to capture a plurality of images for potential association with the identifier data. The method further includes sending, to the remote computing device, the plurality of captured images to be displayed on a display interface of the remote computing device.

Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through edge devices. The multi-edge alert definition is decomposed decompose into individual edge alert sub-definitions. Each of the individual edge alert sub-definitions is evaluated using data from individual ones of the edge devices. An alert is triggered based on one of the individual edge alert sub-definitions being met.

Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through a plurality of edge devices. The multi-edge alert definition is registered in a fog evaluation service for evaluation. Data corresponding to the IoT devices is received by the fog evaluation service from the plurality of edge devices. An alert is triggered based on a condition specified in the multi-edge alert definition.

A method includes receiving, by a control system of a robotic device, data about an object in an environment from a remote computing device, where the data comprises at least location data and identifier data. The method further includes, based on the location data, causing at least one appendage of the robotic device to move through a predetermined learning motion path. The method additionally includes, while the at least one appendage moves through the predetermined learning motion path, causing one or more visual sensors to capture a plurality of images for potential association with the identifier data. The method further includes sending, to the remote computing device, the plurality of captured images to be displayed on a display interface of the remote computing device.

Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through a plurality of edge devices. The multi-edge alert definition is registered in a fog evaluation service for evaluation. Data corresponding to the IoT devices is received by the fog evaluation service from the plurality of edge devices. An alert is triggered based on a condition specified in the multi-edge alert definition.

A method includes determining, for a robotic device that comprises a perception system, a robot planner state representing at least one future path for the robotic device in an environment. The method also includes determining a perception system trajectory by inputting at least the robot planner state into a machine learning model trained based on training data comprising at least a plurality of robot planner states corresponding to a plurality of operator-directed perception system trajectories. The method further includes controlling, by the robotic device, the perception system to move through the determined perception system trajectory.