A cleaner includes a body including an insertion slot facing a floor and an installation space inside the body. The cleaner includes a dust housing detachably connected to the body. The dust housing includes a collection opening surface and a storage space that stores foreign substances collected through the collection opening surface. The cleaner has an agitator rotatably connected to the dust housing and exposed through the collection opening surface. The cleaner also includes a driving apparatus that rotates a driving coupler, which drives a driven coupler coupled to the agitator. The cleaner includes a lever located on either the driving coupler or the driven coupler. The lever selectively attaches or separates the driving coupler and the driven coupler. Manipulating the lever separates the driving coupler and the driven coupler and allows the sweep module including the agitator to be removed through the insertion slot in the body.

A docking station for a mobile cleaning robot can include a base portion configured to receive the mobile cleaning robot. The docking station can include a housing connected to the base portion and a pad cleaning system. The pad cleaning system can be connected to the housing and can include a cleaning head engageable with a cleaning pad of the mobile cleaning robot to remove debris from the cleaning pad, the cleaning head can include a nozzle configured to discharge a fluid onto the cleaning pad.

Methods and apparatuses associated with surface cleaning are described. Examples can include detecting at a processing resource of a robot and via a temperature sensor of the robot, a temperature of a surface on which the robot is located. Examples can include the processing resource shutting down the robot in response to the temperature being at or above a particular threshold temperature, and the processing resource instructing the robot to clean the surface following a particular cleaning path using a vacuum, a scrubber, or both in response to the temperature being below a particular threshold temperature.

An autonomous cleaning robot includes a drive system to move the autonomous cleaning robot about a floor surface, a cleaning head on a bottom portion of the autonomous cleaning robot, a side brush on the bottom portion of the autonomous cleaning robot, and a vacuum system in pneumatic communication with the opening. The cleaning head is configured to direct debris from the floor surface into the autonomous cleaning robot as the autonomous cleaning robot moves about the floor surface. The side brush is rotatable about a rotational axis forming a non-zero angle with a floor surface, and the side brush comprising an opening.

A suction device and a suction force adjustment method thereof are provided. An optical detection unit is disposed on a suction path of a suction pipe to detect an object flowing through the suction pipe. Physical features of the object are determined according to a sensing result of the optical detection unit. A suction force of a suction unit is regulated based on the physical features of the object.

An intelligent cleaning robot is provided by the present application, to clean dust on a surface of a photovoltaic cell assembly and lower a labor cost, and a walking posture of the intelligent cleaning robot may be adjusted according to needs. The intelligent cleaning robot includes a frame, a sweeping device installed on the frame to perform sweeping operations, a first walking wheel located at one end of the frame and driven by a first motor to move, a second walking wheel located at another end of the frame and driven by a second motor to move, and a control system in signal communication with both the first motor and the second motor and configured to control the first motor and the second motor to rotate synchronously, or control the first motor and the second motor to rotate in different rotational speeds or different directions.

A dirtiness level determining method applied to an electronic device comprising an image sensor. The method comprises: (a) capturing a first image at a first time point according to first type of light; (b) capturing a second image at a second time point after the first time point according to the first type of light; (c) calculating a first fixed pattern according to a first difference between the first image and the second image; and (d) calculating a first dirtiness level of the image sensor according to the first fixed pattern; (e) generating a first notifying message if the first dirtiness level is higher than a dirtiness threshold.

Provided is a robot cleaner using an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things (IoT). The robot cleaner includes one or more sensors, a driving wheel, a suction blower, and a controller, and the controller defines a cleaning target area, identifies a user's location and a type of the user's behavior, collects life pattern information of the user including the user's location, the type of the user's behavior, and timestamps each associated therewith during the time period of one day or more, determines a cleaning schedule of the robot cleaner based on the collected life pattern information, and controls the driving wheel and the suction blower so as to perform cleaning in accordance with the determined cleaning schedule.

An industrial robotic vacuum system for cleaning agricultural facility ventilation ductwork. The industrial robotic vacuum system generally includes a robotic vacuum head.

An auto clean machine comprising: a chassis; an internal light source, located inside the chassis, for emitting internal light; an external light source, located outside the chassis, for emitting external light; an optical sensor, configured to sense optical data generated according to the external light or according to the internal light; and a control circuit, configured to analyze optical information of the optical data. If the internal light source is activated, the external light source is de-activated and the control circuit determines variation of the optical information is larger than a variation threshold, the control circuit changes the internal light source to be non-activated and the external light source to be activated.