A beacon for a robotic cleaner may include a housing and an optical indicium having an optical pattern. The optical indicium may be coupled to the housing and be viewable by a camera of the robotic cleaner. After observing the optical indicium, the robotic cleaner may be caused to carry out an action associated with at least a portion of the optical pattern.

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.

The present disclosure relates to a cleaning robot and a method of controlling the same, and more particularly, to a cleaning robot that changes a moving path by detecting an obstacle through a change in permittivity detected while driving about a cleaning space, and a method of controlling the same. The cleaning robot comprises a main body; a driver configured to move the main body; an obstacle detector including an electrode plate provided on the bottom of the main body and a touch IC configured to detect a change in capacitance detected by the electrode plate and; and a controller configured to determine the obstacle based on a signal transmitted by the obstacle detector, and to control the driver.

The present invention provides a cleaning unit, comprising: a columnar body part having a rotation guide opening formed on the outer circumferential surface thereof; a shaft installed to reciprocate a predetermined distance in the longitudinal direction thereof in a hollow formed in the body part; a drive part that protrudes from the shaft in the radial direction thereof; a brush part that has one side installed on the outer circumferential surface of the body part along the longitudinal direction thereof and rotates on the basis of the one side as a rotation axis; and a driven part that extends from the brush part toward the drive part, passes through the rotation guide opening, and is inserted into a rotation guide groove formed in the drive part. The rotation guide groove extends at a predetermined angle with respect to the longitudinal direction of the shaft, and as the shaft reciprocates, the driven part is guided to rotate by means of the rotation guide groove, and the brush is rotated by means of the rotation of the driven part. The cleaning unit may include a robot cleaner or a cleaner operated by means of a user's operation.

A method includes constructing a map of an environment based on mapping data produced by an autonomous cleaning robot in the environment during a first cleaning mission. Constructing the map includes providing a label associated with a portion of the mapping data. The method includes causing a remote computing device to present a visual representation of the environment based on the map, and a visual indicator of the label. The method includes causing the autonomous cleaning robot to initiate a behavior associated with the label during a second cleaning mission.

A robot for detecting a dangerous situation using artificial intelligence includes a memory configured to store a voice recognition model for inferring whether a current situation is the dangerous situation from voice data and an image recognition model for inferring whether the current situation is the dangerous situation from image data, and a processor configured to acquire one or more of the voice data or the image data and output a notification indicating the dangerous situation when the dangerous situation is detected from the voice data using the voice recognition model or when the dangerous situation is detected from the image data using the image recognition model.

Disclosed is a computer readable recording media recording at least one program. An automatic clean machine control method applied to an automatic clean machine can be performed while the program is executed. The automatic clean machine control method comprises: (a) controlling the automatic clean machine to acquire a map; (b) selecting at least part of the map as a region to be cleaned; and (c) controlling the automatic clean machine to perform a first clean operation to the region to be cleaned.

An apparatus controls operations of a cleaner. The apparatus comprises a network interface unit for receiving first information regarding external conditions through an external network, and a controller for setting up operating schedules of the cleaner based on the first information.