The present disclosure relates to a dust extractor (1) comprising a dust cyclone container (3) comprising a dust inlet (2) leading into the dust cyclone container (3), the dust extractor (1) further comprising a fine filter section (12) adapted to receive at least one fine filter part (15) downstream the dust cyclone container (3). A contaminated side of the fine filter part (15) is adapted to be fluidly connected to the dust cyclone container (3) via an air channel (47) that at least partly is comprised in a lid arrangement (13,14) and runs between a cyclone channel connecting rim (23) and a first fine filter section channel connecting rim (40), when the lid arrangement (13, 14) is positioned over the dust cyclone container (3) and the fine filter section (12). A first lid part (13) is releasably attachable to the dust cyclone container (3) and a second lid part (14) is releasably attachable to the fine filter section (12).

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 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.

A cleaning robot includes a housing and a roller brush. The housing is provided with a mounting cavity with an opening at its bottom. The roller brush is rotatably arranged in the mounting cavity and at least part of the roller brush is extended out of the mounting cavity. At least part of the cavity wall is transparent to form a transparent area, and a viewing area is set at a position of the housing and above the transparent area. The closed observation space is formed in the housing, and the observation space communicated with the viewing area and the transparent area, so that the user can observe the working condition of the roller brush inside the mounting cavity.

An electric device in the shape of a machine tool or an energy storage module for the electric power supply of a machine tool, with the energy storage module having a module housing with a device interface for the detachable connection to the machine tool, with the machine tool having a drive motor to drive a tool holder on which a tool provided to process a workpiece is arranged or is arrangeable, with the drive motor being switchable using a switching element of the machine tool and/or the energy storage module, with the electric device having a wireless communication interface for wireless communication with an external communication apparatus, which forms part of a vacuum cleaner provided to suction dust generated by the machine tool and with the wireless communication interface being designed to send at least one control command to control, the vacuum cleaner as a function of a switching status of the switching element to the external communication apparatus via a wireless control connection.

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 vacuum cleaner having a hand unit and an elongated member having a nozzle end portion and a handle end portion. The vacuum cleaner has a valve arranged at the nozzle end portion, the valve having a valve member being movable between a first and a second position. In the first position the valve member directs an airflow from a floor nozzle to the hand unit while preventing an airflow to flow through the handle end portion. In the second position the valve member directs the airflow from the floor nozzle to the handle end portion and to the hand unit. Vacuum cleaning may be performed with the floor nozzle both when the hand unit is connected at the nozzle end and at the handle end.

A robot cleaner according to the present invention includes a body provided with a driving unit for movement, a position recognition unit provided in the body to recognize a position of the body, a storage unit configured to store, on a map, a region cleaned while the body is moving by the driving unit, and a control unit configured to control the driving unit, wherein the control unit determines whether a charging stand exists in a cleaning completed region on the map stored in the storage unit when a return condition that the body returns to the charging stand is satisfied, searches for an uncleaned region when the charging stand is not located in the cleaning completed region, and controls the driving unit such that the body moves from a current position to a point in a found uncleaned region or a point around the found uncleaned region.

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 includes a first housing configured in a cylindrical shape, an inlet port provided to the first housing to suck air therein, an inlet pipe communicating with the inlet port and extending to a front side of the housing with a length-directional axis positioned side by side with a ground surface, a cyclone forming part provided to separate dust from air flowing into the first housing, a second housing communicating with the first housing and coupled to a rear side of the first housing, a fan provided with the second housing to provide a suction force to enable air to be sucked into the first housing through the inlet port, a battery provided to supply power to the fan, and a handle part including a handle base coupled to a top side of the first housing and a handle body connected to the handle base.