A billiard table cleaning device for autonomous cleaning of a playing surface of a billiard table includes a housing, which defines an interior space and which has at least one linear side. A drive unit is engaged to a bottom of the housing and is configured to selectively motivate the housing across a playing surface of a billiard table. A vacuum assembly is engaged to the housing and is positioned in the interior space. The vacuum assembly suctions air and debris, such as chalk dust, through slots positioned in the bottom and expels filtered air through vents positioned in or proximate to a top of the housing, thereby cleaning the playing surface.

A cleaning robot includes a top cover, a bottom cover provided below the top cover, traveling parts provided in the bottom cover, a suction module provided in the bottom cover to suck in foreign materials on the ground, a recessed part firmed to be recessed inward between the top cover and the bottom cover, and a first sensor located in the recessed part.

The present disclosure provides a cleaning method for the water surface of swimming pools and cleaning robot, the cleaning robot comprising a cleaning robot body, a sonar arranged around the cleaning robot body, two rear thrusters located at the tail of cleaning robot body. According to the present disclosure, as long as the cleaning robot body is placed on the water surface of the pool, cleaning robot body floating on the surface of the pool may automatically move and steer, so as to ensure that it can turn in advance before encountering the pool wall and won't knock against the pool wall, reduce the probability of malfunction and damaging of cleaning robot body, and the cleaning robot body can cover the entire water surface of pool and the pool wall, there is no omitting of cleaned water surface, and there is no need for excessive human involvement, it makes it easy for cleaning staffs to clean, when the cleaning robot body cleans the water surface of the pool, the cleaning staffs can carry out other cleaning work, which improved the cleaning efficiency of the cleaning staffs.

The disclosure belongs to the technical field of intelligent household equipment, and provides to a front bumper assembly and a cleaning robot. The front bumper assembly includes a bumper body and two elastic pieces, the two elastic pieces are disposed at the rear ends of two sides of the bumper body, each of the elastic pieces is of an integrally formed structure and is provided with a first elastic portion and a second elastic portion which are abutted against the bumper body, the first elastic portion is configured for receiving first pressure applied by the bumper body, and is able to apply a first counterforce to the bumper body, the second elastic portion is configured for receiving a second pressure applied by the bumper body, and is able to apply a second counterforce to the bumper body, the first pressure is a pressure in an advancing direction of the cleaning robot, and the second pressure is a lateral pressure perpendicular to or arranged at an acute angle with the advancing direction. The disclosure further provides a cleaning robot. According to the front bumper assembly and the cleaning robot, the number of needed elastic pieces is small, the occupied space is small, and the manufacturing cost is low.

A cleaning robot includes a housing assembly, a roller brush, a driving module, a dust box, a suction device, a power supply battery and two travelling modules. The housing assembly has a front end and a rear end, and a bottom of the housing assembly is recessed to form a mounting cavity. The roller brush is rotatably arranged in the mounting cavity and can be driven to rotate by the driving module. The two travelling modules are arranged at the rear end of the housing assembly and are spaced from the roller brush in a front-rear direction of the housing assembly.

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).

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.

Provided is a robot including: a chassis; wheels; electric motors; a network card; sensors; a processor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with at least one exteroceptive sensor, a first image and a second image; determining, with the processor, an overlapping area of the first image and the second image by comparing the raw pixel intensity values of the first image to the raw pixel intensity values of the second image; combining, with the processor, the first image and the second image at the overlapping area to generate a digital spatial representation of the environment; and estimating, with the processor using a statistical ensemble of simulated positions of the robot, a corrected position of the robot to replace a last known position of the robot within the digital spatial representation of the environment.

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.