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.

The present disclosure provides a method for determining a garbage sweeping point in a smart city and an Internet of Things system. The method is implemented by the Internet of Things system. The method includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method is performed through the management platform and includes: obtaining monitoring information on at least one road within a road network area, identifying a target object on the at least one road, the target object including at least garbage to be processed; determining, based on an identification result, information related to the target object, the information related to the target object including at least a garbage volume of the garbage to be processed; and determining at least one target garbage sweeping point based on the information related to the target object.

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.

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.

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.

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 provides a surface cleaning apparatus that mechanically removes liquid and debris from a brushroll and stores the mechanically-removed liquid and debris onboard the apparatus in a first collection area. The surface cleaning apparatus also collects further liquid and debris from the brushroll by a source of suction including a vacuum motor or a pump and stores the collected liquid and debris onboard the apparatus in a second collection area.

A floor cleaning machine with a base, which has a driven cleaning element, and an operating bar that is pivotably attached to the base via a joint and extends between a proximal end and an actuating end. The joint includes a bellows, which is coupled at its opposite ends to the base and the operating bar, a first supporting element, which is arranged inside the bellows and is attached to and points away from the base, and a second supporting element, which is arranged inside the bellows and is attached to and points away from the proximal end of the operating bar. A free end of one of the first and second supporting elements has a projection, while a free end of the other of the first and second supporting elements has a receiving recess that receives the projection and guides it for pivoting movement.