Abstract: Disclosed is a cleaner. The cleaner includes a cleaner body, a suction nozzle configured to suck dust on a floor surface, and a suction hose configured to transfer the dust, transferred from the suction nozzle, to the cleaner body. The cleaner body includes a driving driver or motor moving the cleaner body, a depth sensor configured to obtain image information about an object near the cleaner body, and a processor configured to extract a foot sole region of a person, based on the obtained image information, obtain a moving point of the cleaner body, based on the extracted foot sole region, and control the driving driver to move the cleaner body to the obtained moving point.

Abstract: An embodiment provides a robot cleaner comprising: a driving module for moving a cleaner body within a first cleaning area; a camera module for outputting a first and a second image obtained by photographing a front-side environment when the cleaner body is moved; and a control module for, when the type of an obstacle located in the front-side environment is recognized on the basis of the first and second image, controlling the diving module to allow the cleaner body to move while performing an avoiding motion or a climbing motion on the basis of the type of the obstacle.

Abstract: The present disclosure relates to a robot cleaner having a filter for preventing the cleaner from being constrained by an obstacle. The robot cleaner has a constraint prevention filter arranged to face the front with respect to an agitator, and thus the robot cleaner may be prevented from being constrained as a result of an obstacle being stuck on a cleaning nozzle. In addition, the present disclosure relates to a depth sensor control system enabling the depth of an object to be accurately measured by controlling the amount of light received by a sensor. The depth sensor control system measures, at a light-receiving part, the intensity and frequency of an infrared (IR) ray reflected from an object, and controls the amount of light based on a histogram created using the measurement, and thus enables depth information of an object to be accurately measured without using separate additional equipment.

Abstract: A moving robot includes a travelling unit to move a main body, an image acquisition unit to acquire an image around the main body, a sensor unit including at least one sensor to sense an obstacle during moving, a storage unit to store information on a location of the sensed obstacle and information on a location of the moving robot, to register, into a map, an obstacle area of the obstacle, and to store an image from the image acquisition unit in the obstacle area, an obstacle acquisition module to determine a final attribute of the obstacle using the attributes of the obstacle obtained based on machine learning, and a control unit to detect attributes of obstacles through the obstacle recognition module if detecting a confinement state by the obstacles and to control the traveling unit to move one of the obstacles.

Abstract: A moving robot includes a main body, a driving unit moving the main body, a camera installed on one side of the main body and capturing an image related to a marker, a memory storing information related to a pattern of the marker, and a controller extracting information related to at least one longitudinal line segment included in an appearance of the marker from the captured image, detecting information related to a position and a posture of the main body on the basis of the extracted information related to at least one of the longitudinal line segment and the pattern, and controlling the driving unit on the basis of at least one of the detected position and posture of the main body.

Abstract: A moving robot includes a main body, a driving unit moving the main body, a camera installed on one side of the main body and capturing an image related to a marker, a memory storing information related to a pattern of the marker, and a controller extracting information related to at least one longitudinal line segment included in an appearance of the marker from the captured image, detecting information related to a position and a posture of the main body on the basis of the extracted information related to at least one of the longitudinal line segment and the pattern, and controlling the driving unit on the basis of at least one of the detected position and posture of the main body.

Abstract: Disclosed is a cleaner. The cleaner includes a cleaner body, a suction nozzle configured to suck dust on a floor surface, and a suction hose configured to transfer the dust, transferred from the suction nozzle, to the cleaner body. The cleaner body includes a driving driver or motor moving the cleaner body, a depth sensor configured to obtain image information about an object near the cleaner body, and a processor configured to extract a foot sole region of a person, based on the obtained image information, obtain a moving point of the cleaner body, based on the extracted foot sole region, and control the driving driver to move the cleaner body to the obtained moving point.

Abstract: A moving robot includes a travelling unit to move a main body, an image acquisition unit to acquire an image around the main body, a sensor unit including at least one sensor to sense an obstacle during moving, a storage unit to store information on a location of the sensed obstacle and information on a location of the moving robot, to register, into a map, an obstacle area of the obstacle, and to store an image from the image acquisition unit in the obstacle area, an obstacle acquisition module to determine a final attribute of the obstacle using the attributes of the obstacle obtained based on machine learning, and a control unit to detect attributes of obstacles through the obstacle recognition module if detecting a confinement state by the obstacles and to control the traveling unit to move one of the obstacles.