Abstract: A multilayer electronic component according to an embodiment of the present disclosure includes: an electronic component body including a body having a dielectric layer and an internal electrode, and an external electrode disposed on the body; and a coating layer disposed on an external surface of the electronic component body, including one or more of silicon (Si) and fluorine (F), and having an average thickness of 5 nm or more and 15 nm or less.

Abstract: Provided are a robot cleaner using an artificial intelligence (AI) and/or machine learning algorithm in a 5G environment connected for the Internet of Things and a method for determining a cleaning path of a robot cleaner. The method for determining a cleaning path includes detecting an obstacle, identifying a type of the obstacle based on the image signal, generating a cleaning map including information on the identified obstacle, providing the cleaning map to a user terminal, receiving an input of a cleaning pattern for an area of the obstacle from the user terminal, and determining a cleaning path including the cleaning pattern for the area of the obstacle.

Abstract: Provided is a robot cleaner using an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things (IoT). The robot cleaner includes one or more sensors, a driving wheel, a suction blower, and a controller, and the controller defines a cleaning target area, identifies a user's location and a type of the user's behavior, collects life pattern information of the user including the user's location, the type of the user's behavior, and timestamps each associated therewith during the time period of one day or more, determines a cleaning schedule of the robot cleaner based on the collected life pattern information, and controls the driving wheel and the suction blower so as to perform cleaning in accordance with the determined cleaning schedule.

Abstract: A multilayer electronic component according to an embodiment of the present disclosure includes: an electronic component body including a body having a dielectric layer and an internal electrode, and an external electrode disposed on the body; and a coating layer disposed on an external surface of the electronic component body, including one or more of silicon (Si) and fluorine (F), and having an average thickness of 5 nm or more and 15 nm or less.

Abstract: Provided are a robot cleaner using an artificial intelligence (AI) and/or machine learning algorithm in a 5G environment connected for the Internet of Things and a method for determining a cleaning path of a robot cleaner. The method for determining a cleaning path includes detecting an obstacle, identifying a type of the obstacle based on the image signal, generating a cleaning map including information on the identified obstacle, providing the cleaning map to a user terminal, receiving an input of a cleaning pattern for an area of the obstacle from the user terminal, and determining a cleaning path including the cleaning pattern for the area of the obstacle.

Abstract: Provided is a robot cleaner using an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things (IoT). The robot cleaner includes one or more sensors, a driving wheel, a suction blower, and a controller, and the controller defines a cleaning target area, identifies a user's location and a type of the user's behavior, collects life pattern information of the user including the user's location, the type of the user's behavior, and timestamps each associated therewith during the time period of one day or more, determines a cleaning schedule of the robot cleaner based on the collected life pattern information, and controls the driving wheel and the suction blower so as to perform cleaning in accordance with the determined cleaning schedule.