There is provided a cleaning robot including a light source module, an image sensor and a processor. The light source module projects a line pattern and a speckle pattern toward a moving direction. The image sensor captures an image of the line pattern and an image of the speckle pattern. The processor calculates one-dimensional depth information according to the image of the line pattern and calculates two-dimensional depth information according to the image of the speckle pattern.

Provided is a robot cleaner including a main body including a suction portion disposed therein, a main wheel for moving the main body, wherein a vertical level of the main wheel varies in a vertical direction with respect to the main body, an auxiliary wheel disposed at a front portion or a rear portion of the main body, wherein a vertical level of the auxiliary wheel is fixed with respect to the main body, and a driving member assembly disposed in the main body, wherein the driving member assembly varies a vertical level of the main body from a floor face while rotating in forward and rearward directions of the main body, wherein the driving member assembly has different hitting radii when rotating forward and rearward.

An obstacle avoidance method for a self-moving robot includes: obtaining and recording, by the self-moving robot, information about an obstacle encountered during traveling, wherein the information about the obstacle includes type information and location information of the obstacle; and receiving, by the self-moving robot, an operation instruction for a specified obstacle, wherein the operation instruction is configured for instructing the self-moving robot, when detecting an obstacle of a same type as the specified obstacle in a region range labeled with the specified obstacle, not to perform an obstacle avoidance operation on the obstacle of the same type.

A detecting device for detecting liquid or colloid, comprising: a light emitting device, configured to emit first light, wherein a first angle between a first emitting direction of the first light and a surface when the detecting device is located on the surface, wherein the first angle is larger than 0° and smaller than 90°; an optical sensor, configured to detect first optical data generated based on the first light; and a processing circuit, configured to determine if the liquid or the colloid exists in a predetermined range of the detecting device based on the first optical data. An automatic cleaner applying the detecting device is also disclosed.

An automatic cleaning apparatus includes: a chassis; a front housing arranged at a front end of the chassis; and a sensing device capable sensing movement of the front housing and sending a signal to a control mainboard of the automatic cleaning apparatus when the front housing touches an obstacle and moves relative to the chassis. The sensing device includes a dust blocking member and a rocker arm that triggers the sensing device to send the signal. The rocker arm has a first end rotatably arranged inside the sensing device, and a second end passing through the dust blocking member and extending out of the sensing device. A front housing reset device is arranged on the chassis and capable of biasing the front housing toward an initial position of the front housing.

A cleaning robot includes a top cover, a bottom cover formed below the top cover and configured to move by external force, a fixed body provided in the bottom cover, a first opening formed in an upper portion of the bottom cover and a first sensor connected to the fixed body and externally exposed between the top cover and the bottom cover through the first opening.

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 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.

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.