A docking station, a mobile robot, and a mobile robot management method for controlling a docking station and a mobile robot are provided. The mobile robot includes a management method wherein, in order to display information associated with a docking station to an output device of a mobile robot or transmit the information to a user terminal device connected to the mobile robot, the mobile robot transmits, to the user terminal device, information received from the docking station.

A robot cleaner according to an embodiment of the present disclosure includes: a light receiving sensor configured to measure a brightness of a floor surface; an illumination part configured to irradiate the floor surface with light; a rotation device connected to the illumination part and configured to adjust a rotational angle of the illumination part; an capturing part configured to capture an image of the floor surface; a memory part that stores the image of the floor surface captured by the capturing part; a driving part including an electric motor and wheels; a vacuum suction part configured to perform a vacuum suction by being supplied with power from the electric motor; and a control part. The control part determines an operation in a capturing mode in the capturing mode and a cleaning mode when a value input from the light receiving sensor is determined to be equal to or lower than a predetermined value.

The present disclosure provides a control method capable of, by using a current value of a nozzle, determining whether a nozzle is separated from a vacuum cleaner and whether the nozzle is reconnected to the vacuum cleaner after separation. To this end, a vacuum cleaner may comprise a nozzle connectable to a suction unit for suctioning dusts. The nozzle may comprise a rotary cleaning unit for applying pressure to a cleaning target surface so as to separate a foreign substance therefrom, and a nozzle motor for driving the rotary cleaning unit. In order to drive the nozzle, a voltage having been controlled by a pulse width modulation (PWM) method is applied, and a measurement unit included in the vacuum cleaner may measure a current value of the nozzle, the current value depending on the applied voltage.

A mobile robot that includes a control system, a task execution system and a drive system, the control system configured to monitor the task execution system and drive system, wherein the control system comprises an error detection unit, the error detection unit configured to detect a first error in the task execution system and a second error in the drive system, and further configured to determine that a third error has occurred if it detects the first error and the second error at the same time.

A rotor has magnetic poles and a stator has the same number of teeth. Each tooth has first and second side portions in first and second directions in a circumferential direction, and a tooth tip facing the rotor. First and second protruding portions protrude in the first and second directions from the first and second side portions on the tooth tip side. The tooth tip has a first end having a gap G1 with the rotor and a second end having a gap G2 (>G1) with the rotor. A reference line passes through a rotation axis and perpendicular to a radial straight line passing through a middle position between both side portions. From the reference line, a distance D1 a border between the first protruding portion and the first side portion is longer than a distance D2 to a border between the second protruding portion and the second side portion.

A rotor has magnetic poles and a stator has the same number of teeth. Each tooth has first and second side portions in first and second directions in a circumferential direction, and a tooth tip facing the rotor. First and second protruding portions protrude in the first and second directions from the first and second side portions on the tooth tip side. The tooth tip has a first end having a gap G1 with the rotor and a second end having a gap G2 (>G1) with the rotor. A reference line passes through a rotation axis and perpendicular to a radial straight line passing through a middle position between both side portions. From the reference line, a distance D1 a border between the first protruding portion and the first side portion is longer than a distance D2 to a border between the second protruding portion and the second side portion.

An artificial intelligence (AI) mobile robot and a method of controlling the same for learning an obstacle are configured to capture an image while traveling through an image acquirer, to store a plurality of captured image data, to determine an obstacle from image data, to set a response motion corresponding to the obstacle, and to operate the set response motion depending on the obstacle, and thus, the obstacle is recognized through the captured image data, the obstacle is easily determined by repeatedly learning an image, and the obstacle is determined before the obstacle is detected or from a time point of detecting the obstacle to perform an operation of a response motion, and even if the same detection signal is input when a plurality of different obstacles is detected, the obstacle is determined through the image and different operations are performed depending on the obstacle to respond to various obstacles, and accordingly, the obstacle is effectively avoided and an operation is performed depending on a type of the obstacle.

An artificial intelligence (AI) mobile robot and a method of controlling the same for learning an obstacle are configured to capture an image while traveling through an image acquirer, to store a plurality of captured image data, to determine an obstacle from image data, to set a response motion corresponding to the obstacle, and to operate the set response motion depending on the obstacle, and thus, the obstacle is recognized through the captured image data, the obstacle is easily determined by repeatedly learning an image, and the obstacle is determined before the obstacle is detected or from a time point of detecting the obstacle to perform an operation of a response motion, and even if the same detection signal is input when a plurality of different obstacles is detected, the obstacle is determined through the image and different operations are performed depending on the obstacle to respond to various obstacles, and accordingly, the obstacle is effectively avoided and an operation is performed depending on a type of the obstacle.

An artificial intelligence (AI) cleaner according to an embodiment of the present invention may include a memory, a movement detect sensor, a driving unit configured to allow the AI cleaner to be moved, and a processor configured to control the movement sensor to sense a movement of the AI cleaner by a user and acquire a position to which the AI cleaner has moved while the AI cleaner operates at a first cleaning mode and control the driving unit to allow the AI cleaner to clean a priority cleaning area corresponding to the position at a second cleaning mode.

A stand for a cleaner is capable of holding and charging selectively a cleaner body or a battery. The stand for a cleaner includes a first charging terminal configured to be electrically connected to a cleaner body, a second charging terminal configured to be electrically connected to a battery, and a battery guide configured to guide the battery. The battery guide guides the cleaner body to be connected to the first charging terminal when the battery is mounted to the cleaner body, and is configured to guide the battery to be connected to the second charging terminal when the battery is separated from the cleaner body.