Abstract: Disclosed is a method for controlling a robot cleaner including acquiring, by a camera, an image, irradiating, by a light source, light toward a location the same as a location where the acquired image is captured, receiving, by a sensor, the light irradiated from the light source and reflected on an object, processing an image received from the sensor to contain a distance value of an individual location, and supplementing the image received from the sensor with the image captured by the camera when a singularity is found, wherein distance values calculated in adjacent portions are discontinuous at the singularity.

Abstract: Disclosed is a robot cleaner including a light source for irradiating light, a sensor for sensing that the light irradiated from the light source is reflected, and a controller that processes an image using the light sensed by the sensor to calculate a distance value of an individual location of the corresponding image, wherein it is determined that there is an obstacle when there is a dead zone in the image processed by the controller.

Abstract: The moving robot using artificial intelligence includes: a traveling unit to move a main body; an operation unit to perform a specific operation while generating noise; a sensing unit to sense an ambient situation during traveling; and a controller to determine whether a specific activation condition is satisfied, based on situation information sensed by the sensing unit, and, when the activation condition is determined to be satisfied during traveling, perform a control action to activate a low noise mode so that the operation unit performs the specific operation with relatively reducing the noise. The control method using artificial intelligence includes: determining whether a specific activation condition is satisfied, based on situation information acquired by sensing an ambient situation during traveling; and, when the activation condition is determined to be satisfied, performing a specific operation in an activated state of a low noise mode in which noise is relatively reduced.

Abstract: The present disclosure analyzes the image around the main body, detects the depth of the floor surface and the height of the floor surface beyond the obstacle, and determines whether to climb the obstacle.

Abstract: Disclosed is a mobile robot including a driver configured to move a main body, an image obtainer configured to obtain an image of the surroundings and far and near distances between the main body and an obstacle, and a controller configured to analyze the image and the far and near distances obtained by the image obtainer and to determine whether an obstacle is present near the main body. The controller determines whether the obstacle is a mat-type obstacle. Upon determining that the obstacle is a mat-type obstacle, the controller calculates the planar area of the mat-type obstacle, and determines a climbing operation or an avoidance operation of the main body based on the planar area of the mat-type obstacle.

Abstract: A mobile robot includes a traveling unit configured to move a main body, a sensing unit configured to detect a surrounding object while the mobile robot travels, a communication module configured to get input or receive information and to output or transmit information, and a controller configured to perform control to search for an object while the mobile robot travels in an area specified by area information input or received from the communication module, and to perform control to output or transmit identification information and position information of a detected discovered object through the communication module. A method of controlling a mobile terminal includes an input operation of receiving information for traveling, a travel operation of searching for an object while the mobile robot travels in an area specified according to the area information, and an output operation of outputting identification information and position information of a discovered object, detected in the travel operation.

Abstract: The moving robot using artificial intelligence includes: a traveling unit to move a main body; an operation unit to perform a specific operation while generating noise; a sensing unit to sense an ambient situation during traveling; and a controller to determine whether a specific activation condition is satisfied, based on situation information sensed by the sensing unit, and, when the activation condition is determined to be satisfied during traveling, perform a control action to activate a low noise mode so that the operation unit performs the specific operation with relatively reducing the noise. The control method using artificial intelligence includes: determining whether a specific activation condition is satisfied, based on situation information acquired by sensing an ambient situation during traveling; and, when the activation condition is determined to be satisfied, performing a specific operation in an activated state of a low noise mode in which noise is relatively reduced.