Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

A control device may be configured to delay an attachment procedure while attachment messages are being transmitted over the network. The control device may be configured to initiate an attachment procedure with a router device on a network at the end a back-off period of time. The attachment procedure may include transmitting attachment messages (e.g., parent request messages) that enable the control device to transmit and receive messages over the network through the router device. During the back-off period of time, the control device may determine an attachment message is received from another control device on the network. And, if an attachment message (e.g., a parent request messages and/or a link request message) is received from another control device, the control device may increase the back-off period of time (e.g., delaying when the control device initiates its attachment procedure).

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous vehicles may be automatically refueled by routing the vehicles to available fueling stations when not in operation, according to methods described herein. A fuel level within a tank of an autonomous vehicle may be monitored until it reaches a refueling threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to refuel the vehicle may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a fueling station, refill a fuel tank, and return to its starting location in order to refuel when not in use.

Implementations can identify a given assistant device from among a plurality of assistant devices in an ecosystem, obtain device-specific signal(s) that are generated by the given assistant device, process the device-specific signal(s) to generate candidate semantic label(s) for the given assistant device, select a given semantic label for the given semantic device from among the candidate semantic label(s), and assigning, in a device topology representation of the ecosystem, the given semantic label to the given assistant device. Implementations can optionally receive a spoken utterance that includes a query or command at the assistant device(s), determine a semantic property of the query or command matches the given semantic label to the given assistant device, and cause the given assistant device to satisfy the query or command.

Implementations can identify a given assistant device from among a plurality of assistant devices in an ecosystem, obtain device-specific signal(s) that are generated by the given assistant device, process the device-specific signal(s) to generate candidate semantic label(s) for the given assistant device, select a given semantic label for the given semantic device from among the candidate semantic label(s), and assigning, in a device topology representation of the ecosystem, the given semantic label to the given assistant device. Implementations can optionally receive a spoken utterance that includes a query or command at the assistant device(s), determine a semantic property of the query or command matches the given semantic label to the given assistant device, and cause the given assistant device to satisfy the query or command.

Embodiments of the present disclosure provide a generating method of data, a processing method of data, an executing method of data and device thereof. A user can create required structured data by means of a terminal device, even if the user does not understand the working principle of an Internet-of-Things device and an instruction code. The terminal device can convert execution sequence data into structured data that can be executed by the Internet-of-Things device and provide the structured data for the Internet-of-Things device, so that the Internet-of-Things device can directly execute a corresponding operation according to a state control instruction in the structured data, thereby improving the structured data custom extension capability of the Internet-of-Things device while meeting user requirements.

Aspects of the subject disclosure may include, for example, a method that includes determining, by a processing system including a processor, that a viewer is viewing primary content for a first time; capturing, by the processing system, an emotive response of the viewer as the primary content is viewed during the first time; determining that the viewer is viewing the primary content at a subsequent time, wherein the subsequent time is later than the first time; detecting the emotive response of the viewer as the primary content is viewed during the subsequent time; retrieving external media responsive to detecting the emotive response; and displaying the external media. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, a method that includes determining, by a processing system including a processor, that a viewer is viewing primary content for a first time; capturing, by the processing system, an emotive response of the viewer as the primary content is viewed during the first time; determining that the viewer is viewing the primary content at a subsequent time, wherein the subsequent time is later than the first time; detecting the emotive response of the viewer as the primary content is viewed during the subsequent time; retrieving external media responsive to detecting the emotive response; and displaying the external media. Other embodiments are disclosed.

A clothing processing apparatus included in an Internet of Things (IoT) system is provided. The clothing processing apparatus includes a communication interface and a processor configured to perform a process including at least one clothing processing operation.

The present disclosure discloses a method and apparatus for changing a resource state, a terminal, and a storage medium, which belong to the field of smart home. A system for changing a resource state that includes a first collection resource, a first intermediate-level resource, and leaf node resources can be established. By making the first collection resource obtain link information of each leaf node resource whose resource state needs to be changed, a request that includes a default interface of the leaf node resource may be generated for the leaf node resource, such that a state of the leaf node resource can be changed accurately by the system. Therefore, the present disclosure enables the control request issued by a client to be recognized and executed by each leaf node resource, thereby increasing reliability and stability of system control.