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.

A recharge control method includes: providing a robot comprising a body and four infrared carrier receivers, wherein a second and a third of the four infrared carrier receivers are mounted on a front of the body, and a first and a fourth of four infrared carrier receivers are mounted on left side and on a right side of the body; receiving, by one or more of the four infrared carrier receivers, infrared carrier emitted by a charging dock; determining an area where the robot is located, wherein the area is one of at least five areas around the charging dock that are determined based on receiving of the infrared carrier by different combinations of the four infrared carriers and based on not receiving of the infrared carrier by the infrared carriers; and controlling the robot to move to the charging dock according to a movement mode corresponding to the area.

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.

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.

A mobile cleaner includes a body, a mop module, and a sweep module. The mop module includes a pair of spin mops configured to rotate and mop a surface. The sweep module is configured to sweep up foreign material on the surface using a rotating agitator. The sweep module includes a dust housing, the agitator, and a wheel assembly. The wheel assembly is configured to support the dust housing on the surface and includes a wheel body that is movable in a vertical direction. A cliff sensor is configured to detect movement of the wheel body.

One object determining system comprising: an air ejection device, configured to eject air; a distance detecting circuit, configured to detect distances between an electronic device comprising the object determining system and at least one location of an object when the air ejection device ejects air to the object; and a determining circuit, configured to determine a type of the object according to variations of the distances.

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.