Abstract: A moving robot and a controlling method for the same are disclosed, in which mapping is performed along a wire provided in a boundary of a task area. According to various embodiments disclosed in the present disclosure, since the moving robot self-drives along the wire when setting the task area, a user may acquire map information corresponding to the task area without directly manipulating the moving robot.

Abstract: The present disclosure relates to a moving robot system and a method for generating boundary information of the moving robot system that generates boundary information based on actual installation positions of a plurality of transmission devices when the plurality of transmission devices is installed based on map data provided from a web server.

Abstract: A mapping method of a lawn mower robot may include a first image mapping operation of generating a first travel image of a three-dimensional region based on an aerial image of a work target region, a first map displaying operation of dividing the first travel image into a mowing region and an obstacle region, converting the first travel image into a first travel map, and displaying the first travel map. The mapping method may include a first anchor displaying operation of recommending the number and installation locations of anchors on the first travel map, an anchor location determination operation of determining whether the anchors are installed at the installation locations, and a path generation operation of generating a travel path of the lawn mower robot on the first travel map. The mapping method may improve work efficiency of the lawn mower robot.

Abstract: Disclosed is a control method of a moving robot configured to drive a work area where a plurality of beacons, the control method comprising a radio direction acquiring step of acquiring radio direction information from the beacons; a first distance tracking step of tracking first distance information between the moving robot and the beacons based on the radio direction information, after the radio direction acquiring step; a second distance tracking step of tracking second distance information between the moving robot and an object existing in the work area via a distance sensor provided in the moving robot; and a first comparison step of comparing the first distance information with the second distance information, wherein location recognition of the moving robot is performed based on the radio direction information, when the first distance is equal to the second distance based on the result of the first comparison step.

Abstract: The present disclosure provides a method for controlling a robot cleaner including a travel operation in which the robot cleaner travels, a recognition operation in which when the robot cleaner contacts an obstacle during the travel, the robot cleaner determines whether the obstacle is pushed by the robot cleaner and slides, and an obstacle bypass operation in which upon determination that the obstacle is the pushed-and-sliding obstacle, the robot cleaner stops the travel and then bypasses the pushed-and-sliding obstacle.

Abstract: A moving robot according to an aspect of the present invention includes a body configured to define an exterior, a travelling unit configured to move the body against a travelling surface of a travelling area, a storage configured to store a grid map corresponding to a travelling area and cost information of grids included in the grid map, and a controller configured to generate a movement route based on the cost information, control the travelling unit to travel according to the generated movement route, and increase a stay cost of a grid corresponding to a route that has passed during the travelling and control the storage to store the increased stay cost.

Abstract: The present invention relates to a mobile robot system for autonomously traveling in a travel area, and a method for generating boundary information of the mobile robot system, the mobile robot system being characterized by comprising: a transmitter for transmitting a transmission signal including location information; and a mobile robot which moves and rotates on the basis of the separation distance to the transmitter and the angle with respect to the transmitter, and generates boundary information on a travel area by using a movement path, wherein the transmitter moves along the periphery of the mobile robot and changes the separation distance and the angle to control the travel of the mobile robot.

Abstract: In a moving robot and a control method according to the present disclosure, an obstacle is detected using structured light irradiated in a predetermined type of light pattern in a traveling direction while traveling, and a specified operation is performed in response to the obstacle. Moreover, a dangerous obstacle is recognized by extracting changes over time using a plurality of images for an obstacle or a low obstacle that is difficult to determine as detected data, and thus, it is possible to improve accuracy according to the determination of the obstacle, improve a corresponding operation according to the obstacle, minimize the uncleaned area while preventing restraint due to the obstacle, and improve the cleaning performance.

Abstract: The present specification relates to a mobile robot system and a boundary information generation method for the mobile robot system, the mobile robot system comprising a signal processing device that comprises a receiving tag for receiving a transmission signal and a distance sensor, so as to recognize coordinate information about a spot at which the point of the distance sensor is designated on the basis of the reception result of the receiving tag and the distance measurement result of the distance sensor, thereby generating boundary information according to the path designated as the point of the distance sensor on the basis of the recognized coordinate information.

Abstract: The present invention relates to a method, device, and robot for classifying an outlier during object recognition learning using artificial intelligence. The method or device for classifying an outlier during object recognition learning according to an embodiment of the present invention sets an inlier region and an outlier region through learning using unlabeled data and labeled data.

Abstract: A cart robot analyzing a hand motion of a user is disclosed. The cart robot comprises a code input interface obtaining a product identification code, a sensor detecting a hand motion of a user, a weight measuring device measuring a weight of one or more products contained in a product loading space, and a controller. When there is no change in weight of the loaded products, the cart robot updates a shopping list with respect to the products loaded in the product loading space in real time by analyzing the hand motion of the user. Therefore, the convenience of the user is enhanced.

Abstract: The present specification relates to a mobile robot system and a method for generating boundary information of the mobile robot system, wherein the mobile robot system generates first map data for the locations of a plurality of transmitters installed in a driving area on the basis of the result of receiving the transmission signals from the plurality of transmitters, receives second map data for an area corresponding to the driving area from a communication target means in which map information of an area including the driving area is stored, and matches the first map data and the second map data to generate boundary information about a boundary area of the driving area.

Abstract: Disclosed is a robot and a control method thereof. The robot includes: a camera configured to acquire a depth image of a specific area; a processor configured to create an elevation map for the specific area based on the depth image, and determine whether a head of a person is in the specific area based on the elevation map. The processor, when determining whether the head of the person is in the specific area, is further configured to partition pixels of the elevation map into floor pixels corresponding to a floor area and non-floor pixels corresponding to a non-floor area using elevation values of the elevation map, set paths through the elevation map with a subset of the non-floor pixels as starting points for the paths, and determine whether the head of the person is in the specific area based on whether the paths converge.

Abstract: Disclosed is a control method of a moving robot configured to drive a work area where a plurality of beacons, the control method comprising a radio direction acquiring step of acquiring radio direction information from the beacons; a first distance tracking step of tracking first distance information between the moving robot and the beacons based on the radio direction information, after the radio direction acquiring step; a second distance tracking step of tracking second distance information between the moving robot and an object existing in the work area via a distance sensor provided in the moving robot; and a first comparison step of comparing the first distance information with the second distance information, wherein location recognition of the moving robot is performed based on the radio direction information, when the first distance is equal to the second distance based on the result of the first comparison step.

Abstract: The present disclosure relates to a moving robot system and a method for generating boundary information of the moving robot system that generates boundary information based on actual installation positions of a plurality of transmission devices when the plurality of transmission devices is installed based on map data provided from a web server.

Abstract: The present invention relates to a method, device, and robot for classifying an outlier during object recognition learning using artificial intelligence. The method or device for classifying an outlier during object recognition learning according to an embodiment of the present invention sets an inlier region and an outlier region through learning using unlabeled data and labeled data.

Abstract: Disclosed is a mobile robot including a body forming an outer appearance, a driving part configured to move the body, an image acquisition unit configured to capture an image of a traveling area and to generate image information, a tray configured to support an article to be carried, and a controller configured to determine a size of the article to be carried and to form an inclined surface by controlling a slide module disposed above the tray to move at least one slide of the slide module to protrude depending on the size of the article to be carried. Accordingly, a porter robot loads a load in an accommodation space without lifting the load by a user.

Abstract: A moving robot includes a body configured to define an exterior, a travelling unit configured to move the body against a travelling surface of a travelling area, and a controller configured to divide a grid map corresponding to the travelling area into multi-maps composed of spaced lines, generate individual pattern routes using each of the multi-maps, and generate a final pattern route by integrating individual pattern routes generated from the multi-maps, and control the travelling unit to pattern travel in the travelling area based on the final pattern route.

Abstract: A moving robot according to an aspect of the present invention includes a body configured to define an exterior, a travelling unit configured to move the body against a travelling surface of a travelling area, a storage configured to store a grid map corresponding to a travelling area and cost information of grids included in the grid map, and a controller configured to generate a movement route based on the cost information, control the travelling unit to travel according to the generated movement route, and increase a stay cost of a grid corresponding to a route that has passed during the travelling and control the storage to store the increased stay cost.

Abstract: A mapping method of a lawn mower robot may include a first image mapping operation of generating a first travel image of a three-dimensional region based on an aerial image of a work target region, a first map displaying operation of dividing the first travel image into a mowing region and an obstacle region, converting the first travel image into a first travel map, and displaying the first travel map. The mapping method may include a first anchor displaying operation of recommending the number and installation locations of anchors on the first travel map, an anchor location determination operation of determining whether the anchors are installed at the installation locations, and a path generation operation of generating a travel path of the lawn mower robot on the first travel map. The mapping method may improve work efficiency of the lawn mower robot.