The present disclosure provides a surface cleaning apparatus that includes steam delivery. The apparatus includes a hand-carried body adapted to be hand carried by a user, the hand-carried body having a main housing, a supply tank, and a heater. A flexible hose is mounted to the hand-carried body and a hand-held cleaning tool mounted to an end of the hose. The tool has a liquid distributor to deliver liquid cleaning fluid and a steam distributor to deliver steam. Various features for controlling the operation of electrical component of the extraction cleaner are disclosed.

A method of operating an autonomous cleaning robot includes presenting, on a display of a mobile device, a representation of each of multiple cleaning levels, each cleaning level corresponding to a respective rank overlap parameter for a wet cleaning mission of the autonomous cleaning robot. The method includes receiving, at the mobile device, an input indicative of a selection of one of the cleaning levels; and controlling the autonomous cleaning robot to execute a wet cleaning mission according to the rank overlap parameter corresponding to the selected one of the cleaning levels.

An electronic device for recognizing a user's speech and a speech recognition method therefor are provided. The electronic device includes a microphone configured to receive a user's speech, a memory for storing speech recognition models, and at least one processor configured to select a speech recognition model from among the speech recognition models stored in the memory based on an operation state of the electronic device, and recognize the user's speech received by the microphone based on the selected speech recognition model.

An AI apparatus and an operating method are provided, the AI apparatus includes a communication interface to receive 3D sensor data and bumper sensor data from a first cleaner, a processor to generate surrounding situation map data based on the 3D sensor data and the bumper sensor data, and a learning processor to generate learning data by labeling area classification data for representing whether the surrounding situation map data corresponds to the stuck area, and to train a stuck area classification model based on the learning data. The processor transmits the trained stuck area classification model to a second cleaner through the communication interface.

Systems and methods assisting a robotic apparatus are disclosed. In some exemplary implementations, a robot can encounter situations where the robot cannot proceed and/or does not know with a high degree of certainty it can proceed. Accordingly, the robot can determine that it has encountered an error and/or assist event. In some exemplary implementations, the robot can receive assistance from an operator and/or attempt to resolve the issue itself. In some cases, the robot can be configured to delay actions in order to allow resolution of the error and/or assist event.

There is provided a mobile robot that performs the obstacle avoidance, positioning and object recognition according to image frames captured by the same optical sensor. The mobile robot includes an optical sensor, a light emitting diode, a laser diode and a processor. The processor identifies an obstacle and a distance thereof according to image frames captured by the optical sensor when the laser diode is emitting light. The processor further performs the positioning and object recognition according to image frames captured by the optical sensor when the light emitting diode is emitting light.

An auto clean machine comprising: a height computing device; and an obstacle determining device. The height computing device is turned on to compute a height or an overhang height of an obstacle when the obstacle determining device determines the obstacle exists in a predetermined region of the auto clean machine. The height computing device does not compute the height and the overhang height when the obstacle determining device does not determine the obstacle exists in the predetermined region.

A work vehicle comprising: a drive wheel unit that is provided in a vehicle body and is configured to be driven by a travel drive mechanism; a work unit that is provided in the vehicle body and is configured to perform work on a work target; a battery provided in the vehicle body; a motor that is configured to receive electric power from the battery and drive the work unit; an inclination sensor configured to detect an inclination of the vehicle body relative to a horizontal plane; and a first captured image acquisition unit configured to acquire a captured image that shows surroundings of the vehicle body when the work is being performed.

Provided is a robot cleaner. The artificial intelligence robot cleaner includes a traveling driving unit configured to allow the artificial intelligence robot cleaner to travel in an indoor space of a home, a cleaning unit configured to remove pollutants, a sensor configured to acquire data that is used to identify a plurality of members, and a processor configured to control the traveling driving unit and the cleaning unit so as to determine one or more subordinate spaces corresponding to each of the plurality of members among a plurality of subordinate spaces by using the data and a map of the indoor space, determine a return time of some or all of the plurality of members, determine a cleaning priority of the plurality of subordinate spaces based on the return time, and perform cleaning according to the cleaning priority.

The present disclosure provides a surface cleaning apparatus that mechanically removes liquid and debris from a brushroll and stores the mechanically-removed liquid and debris onboard the apparatus in a first collection area. The surface cleaning apparatus also collects further liquid and debris from the brushroll by a source of suction including a vacuum motor or a pump and stores the collected liquid and debris onboard the apparatus in a second collection area.