A multi-robot system includes a first a mobile cleaning robot that has a local storage device to store a persistent map of an environment, at least one sensor to sense the environment, and a control module. The control module is configured to: control the mobile cleaning robot to navigate in the environment using the persistent map and sensing data provided by the at least one sensor, share the persistent map with a second mobile cleaning robot, and coordinate with the second mobile cleaning robot to perform cleaning tasks.

A method for a robotic cleaning device of detecting a difference in level of a surface in front of the robotic cleaning device moves. The method includes illuminating the surface with light, capturing an image of the surface, detecting a luminous section in the captured image caused by the light, identifying at least a first segment and a second segment representing the detected luminous section, and detecting, from a positional relationship between the identified first and second segment, the difference in level of the surface.

Disclosed herein is an air cleaner disposed in an indoor space. An air cleaner according to an embodiment includes a blowing device including a suction port and a discharge port, a fan motor configured to generate an air flow, a purifying unit installed inside the blowing device to purify air, a driving portion configured to move the air cleaner, a communication unit configured to communicate with a moving agent moving in the indoor space, and a processor configured to receive status information including at least one of air quality information and dust occurrence information collected by the moving agent, determine a specific zone in which air purification is to be performed using the status information collected by the moving agent, and perform air purification in the specific zone.

A robot cleaner includes an intake port, a shock detection sensor, a camera, a memory, and a processor. The memory may include an artificial intelligence model trained to identify an object, and the processor may, based on the object being ingested by the intake port, identify an image obtained within a preset time before the object is ingested, among a plurality of images obtained through the camera and identify the object according to the artificial intelligence model. Thereby, a user may be informed that the robot cleaner has ingested the object.

Debris signature-based robotic cleaning device navigation includes operating the robotic cleaning device in a first mode as part of a vacuum cycle, the device including suction ports configurable for different suction power levels and each port having a suction path along which debris entering through the suction port is collected by the device. In the first operating mode the suction ports are operated at a first suction power level. The navigation also includes changing operation of the device to a second mode and in which the suction ports are operated at a greater suction power, measuring a respective amount of debris collected through each suction port, and selecting a direction in which to navigate the robotic cleaning device based on the debris measurements.

The present disclosure provides a cleaning robot system, a cleaning robot and a method for controlling a cleaning robot. The cleaning robot system includes a cleaning robot and a control terminal. The cleaning robot includes a camera set and a WIFI communication component, the camera set is configured to shoot images around the cleaning robot so as to generate panoramic image information, and the WIFI communication component is configured to generate a wireless communication between the cleaning robot and the control terminal so as to send the panoramic image information to the control terminal. The control terminal is configured to perform wireless communication with the WIFI communication component so as to receive the panoramic image information, and to generate a control instruction according to the panoramic image information for controlling the cleaning robot.

A dust inflow sensing unit and a robot cleaner having the same. The dust inflow sensing unit includes a light emitting element to emit a beam having a transmission region, a light receiving element having a reception region overlapping the transmission region of the light emitting element, and a guide member to restrict the reception region of the light receiving element to a designated range until the reception region reaches the light emitting element.

An information processing method in a server device includes obtaining first information obtained by at least one of one or more sensors installed in a space, detecting the breakage of an article present in the space based on the first information, estimating a situation where the breakage of the article occurred based on the first information, and outputting second information for causing a self-propelled device to perform a predetermine operation in the space according to the estimated situation.

Provided herein is a dust measuring apparatus. The dust measuring apparatus includes: a body; a window unit exposed to the outside through an opening part of the body, such that dust present in the outside is gathered on the window unit; a light emitting unit emitting light to the window unit; a light receiving unit receiving light reflected from the window unit; and a controlling unit measuring an amount of dust gathered on the window unit on the basis of strength of the emitted light and strength of the received light.

A method for controlling an autonomous device that moves in two dimensions using a controller includes obtaining a first image at a first position, which is a destination of the autonomous device, calculating, from the first image, first feature values indicating certain characteristics of the first image, referring to map information indicating correspondences between coordinate information indicating coordinates of defined positions included in a movement area of the autonomous device and second feature values, which are calculated from second images and indicate certain characteristics of the second images and identifying, by referring to the map information, a second position corresponding to second feature values having at least a predetermined degree of correspondence to the feature values generating a command for moving the autonomous device to the second position on the basis of coordinate information corresponding to the second position, and transmitting the command to the autonomous device.