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.

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.

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.

A cleaning robot includes a machine body, a perception system, a control system, and a driving system; the perception system includes a laser distance sensor and a camera; the laser distance sensor is located on a top surface of the cleaning robot; and the camera is mounted on the cleaning robot through a mounting bracket, and a field of view of the camera includes a traveling direction of the cleaning robot. The camera apparatus is applied to the cleaning robot, and provides good shockproof performance and good stability. In addition, when a distance between optical axes of two cameras changes, the camera can be replaced and calibrated at any time, facilitating maintenance and repair.

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.

A virtual teaching system includes a semi-autonomous device to perform a task such as cleaning a target environment. The semi-autonomous device includes one or more sensors configured to record environmental data from the target environment that can be used to construct a virtual environment. The semi-autonomous device is operably coupled to an analysis system. The analysis system includes a processor to perform multiple functions, such as constructing the virtual environment from the recorded environmental data and supporting operation of a user interface. The user interface can be operably coupled to the processor, allowing a human operator to teach a virtual device in the virtual environment to perform an action sequence. Once the virtual device has been taught an action sequence in the virtual environment, the analysis system can transfer the recorded action sequence to the semi-autonomous device for use in the target environment.