Abstract: A method of controlling a battery is disclosed. The method includes training an artificial neural network to calculate an internal characteristic parameter value of the battery corresponding to a sensed input/output parameter value using training data, sensing the input/output parameter value of the battery, acquiring the characteristic parameter value corresponding to the sensed input/output parameter value using the trained artificial neural network, and controlling charging or discharging of the battery based on the acquired characteristic parameter value.

Abstract: A method of controlling a battery is disclosed. The method includes training an artificial neural network to calculate an internal characteristic parameter value of the battery corresponding to a sensed input/output parameter value using training data, sensing the input/output parameter value of the battery, acquiring the characteristic parameter value corresponding to the sensed input/output parameter value using the trained artificial neural network, and controlling charging or discharging of the battery based on the acquired characteristic parameter value.

Abstract: A robot cleaner for avoiding a stuck situation using artificial intelligence includes a sensing unit configured to detect the stuck situation of the robot cleaner, a driving unit to drive the robot cleaner, and a processor configured to determine a rotation angle of the robot cleaner when the stuck situation is detected through the sensing unit, control the driving unit such that the robot cleaner rotates by the determined rotation angle, and control the driving unit such that the robot cleaner reverses by a certain distance after rotating by the rotation angle.

Abstract: A robot cleaner for recognizing a stuck situation through artificial intelligence includes a driving unit to drive the robot cleaner, a sensing unit configured to acquire three-dimensional (3D) image data and a bumper event, a memory configured to store a stuck situation recognition model for inferring the stuck situation of the robot cleaner, and a processor configured to convert the 3D image data and the bumper event into surrounding map image data, infer the stuck situation of the robot cleaner from the 3D image data and the bumper event using the stuck situation recognition model, and control the driving unit according to an inference result.

Abstract: An artificial intelligence (AI) device for guiding an arrangement location of an air cleaning device includes a memory to store an air cleaning device arrangement model to infer the arrangement location of the air cleaning device based on information on fine dust in a house and a processor configured to acquire information on a map of the house and information on fine dust distribution in the house, and to determine the arrangement location of the air cleaning device based on the information on the map and the information on the fine dust distribution, by using the air cleaning device arrangement model.

Abstract: An embodiment of the present invention provides an artificial intelligence (AI) robot for determining a cleaning route using sensor data, comprising: a sensor unit including at least one of an image sensor, a depth sensor or a shock sensor; a cleaning unit including at least one of a suction unit or a mopping unit; a driving unit configured to drive the AI robot; and a processor configured to: acquire the sensor data from the sensor unit, determine a complex area using the acquired sensor data, create a virtual wall for blocking an entry into the determined complex area, determine the cleaning route in consideration of the created virtual wall, and control the cleaning unit and the driving unit based on the determined cleaning route.

Abstract: A robot cleaner for cleaning in consideration of a floor state through artificial intelligence includes a cleaning unit including a suction unit and a mopping unit, a driving unit to drive the robot cleaner, and a processor to obtain a carpet area or a rug area based on cleaning data, and to control the driving unit to change an entrance direction of the robot cleaner when the robot cleaner enters the carpet area or the rug area.

Abstract: The present invention relates to a mobile terminal capable of providing path information, and a control method therefor. The mobile terminal according to one embodiment of the present invention comprises: a camera; and a control unit for activating, if an event occurs, the camera, detecting whether the mobile terminal is in a vehicle-mounted state and whether the vehicle is traveling by using images received through the camera and, if it is determined, according to the detection result, that the vehicle is traveling in a state in which the mobile terminal is mounted on the vehicle, activating a gesture function of controlling the event by recognizing a gesture of a user.

Abstract: The present invention relates to a mobile terminal capable of providing path information, and a control method therefor. The mobile terminal according to one embodiment of the present invention comprises: a camera; and a control unit for activating, if an event occurs, the camera, detecting whether the mobile terminal is in a vehicle-mounted state and whether the vehicle is traveling by using images received through the camera and, if it is determined, according to the detection result, that the vehicle is traveling in a state in which the mobile terminal is mounted on the vehicle, activating a gesture function of controlling the event by recognizing a gesture of a user.

Abstract: The present invention relates to a remote point method. A remote pointing method according to the present invention comprises capturing images by a first and a second camera disposed being separated spatially from each other; detecting a pointing part in a first image captured by the first camera; determining a region of interest including the pointing part in a second image captured by the second camera; and extracting stereoscopic coordinates of the pointing part within the region of interest.

Abstract: The present invention relates to a remote point method. A remote pointing method according to the present invention comprises capturing images by a first and a second camera disposed being separated spatially from each other; detecting a pointing part in a first image captured by the first camera; determining a region of interest including the pointing part in a second image captured by the second camera; and extracting stereoscopic coordinates of the pointing part within the region of interest.