A robot cleaner comprising: a cleaner body including a controller, the cleaner body having a dust container accommodation part formed therein; a wheel unit mounted in the cleaner body, the wheel unit of which driving is controlled by the controller; and a dust container detachably coupled to the dust container accommodation part, wherein a first opening and a second opening are disposed at the same height in an inner wall of the dust container accommodation part, wherein the dust container includes: an entrance and an exit, disposed side by side along the circumference of the dust container, the entrance and the exit, respectively communicating with the first opening and the second opening when the dust container is accommodated in the dust container accommodation part; and a flow separating part extending downwardly inclined along the inner circumference of the dust container.

A cleaning robot includes a top cover, a bottom cover formed below the top cover and configured to move by external force, a fixed body provided in the bottom cover, a first opening formed in an upper portion of the bottom cover and a first sensor connected to the fixed body and externally exposed between the top cover and the bottom cover through the first opening.

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.

Provided is a method, computer program product, and system for leveraging spatial scanning data of an environment collected by a robotic vacuum to generate recommendations for improving environmental conditions. A robotic vacuum may collect cleanliness data relative to an environment. The robotic vacuum may store the cleanliness data over a plurality of cleaning cycles. The robotic vacuum may analyze the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends. The robotic vacuum may generate a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends. The robotic vacuum may provide the recommendation to a user.

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.

The cleaning robot includes a housing, a brush roller and a suction device. The housing is provided with a mounting chamber. A debris collecting chamber is communicated with the mounting chamber. The brush roller is pivotally mounted in the mounting chamber and at least a part of the brush roller protrudes from the mounting chamber. The housing is further provided with a debris collecting channel, one end of the debris collecting channel is communicated with the debris collecting chamber, the other end of the debris collecting channel penetrates through the rear end of housing, and the housing is further provided with a first door for opening or closing the debris collecting channel.

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.

The present invention relates to a robot cleaner and a method for controlling the same. The present invention provides a mobile robot and a method for controlling the same, the mobile robot using the rotational force of three or more rotary members as a moving power source thereof, wherein the mobile robot is controlled to effectively travel along a configured straight travel route and not to deviate from the configured straight travel route, or is controlled to immediately return to the configured straight travel route when deviating from the configured straight travel route.

The embodiment of the present disclosure provides a robot control method, a robot and a storage medium. In the embodiment of the present disclosure, the robot determines a position when the robot is released from being hijacked based on relocalization operation; determines a task execution area according to environmental information around the position when the robot is released from being hijacked; and afterwards executes a task within the task execution area. Thus, the robot may flexibly determine the task execution area according to the environment in which the robot is released from being hijacked, without returning to the position when the robot is hijacked, to continue to execute the task, then acting according to local conditions is realized and the user requirements may be met as much as possible.