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.

A cleaner is disclosed, which comprises a main body including an suction inlet through which air containing dust enters, a dust separator provided to separate dust from the air while the air entering from the suction inlet is moving, a first dust collector configured to collect the dust separated by the dust separator, a cyclone portion configured to rotate the air to separate the dust from the air, and a second dust collector collecting the dust separated by the cyclone portion. The dust separator is provided with a plurality of plate shaped members arranged at a predetermined angle with respect to a moving direction of the air, and arranged to be spaced apart from one another to move the air.

The present disclosure discloses a hand-push leaf suction machine with an automatic outage function for toppling which includes a housing provided with an air duct, a fan fixedly arranged in the housing, a dust collecting box, ground wheels arranged on two sides of the housing and supported on ground, auxiliary wheels arranged on two sides of the housing and supported on the ground, and a push handle arranged at a rear end of the housing.

A surface cleaning apparatus such as a vacuum cleaner includes a suction source, a recovery container, and a base assembly with at least one agitator within an agitator chamber. The recovery container can be coupled to a separator assembly configured to remove dirt and debris from working fluid through the vacuum cleaner. In addition, a brake assembly can be provided on an upper portion of the base assembly and be configured to engage at least one wheel of the base assembly.

A robotic vacuum cleaner equipped with a holonomic drive that can drive in a given direction, e.g., north (assigned orientation), and move in a different direction, while maintaining its assigned orientation or that of any desired portion of the robot, such as an intake, or any other portion of the robot that is needed for a particular maneuver. The robotic vacuum cleaner includes a removable, chargeable battery system including a battery pack having batteries and a battery management system extending across all the batteries of the battery pack. A housing, including a top cover, surrounds the battery pack and the battery management system (BMS). The top cover extends over the BMS and includes a circuit board therein. A connector is at least partially connected to the BMS and extends through the housing. The connector is configured to transmit signals between the battery management system and the robotic vacuum cleaner.

A robot cleaner includes a main body, and a wheel unit including a wheel configured to movably support the main body. The wheel unit is installed in a suspension unit and configured to be movable upward or downward. The suspension unit is configured to absorb impact when the wheel unit moves upward or downward, and is installed in a lifting unit coupled to the main body. The suspension unit is configured to be raised or lowered relative to the lifting unit. The lifting unit includes a lifting drive motor including a rotatable shaft disposed in parallel with a direction in which the suspension unit is configured to be raised or lowered, and a transmission unit configured to transmit a rotation force of the lifting drive motor to the suspension unit.

The present application provides a garbage collection system for a sweeping robot, including a base for placing the sweeping robot and a dust collecting box body connected to the base for collecting garbage in a sweeping robot storage box, an air duct is arranged in the base, and an inlet end of the air duct is aligned with the sweeping robot storage box; an inner chamber of the dust collecting box body comprises a transition chamber, a storage chamber and a power chamber, a blower is arranged in the power chamber, the power chamber communicates with the storage chamber, a dust filter element for filtering garbage is arranged in the storage chamber; a transmission channel is formed in the transition chamber.

A cleaning apparatus may include at least one isolator configured to absorb mechanical vibration generated by contact between an agitator and a combining unit to reduce noise and/or vibration. The isolator may include at least one combing isolator disposed at least partially between the combing unit and the surface cleaning head. Alternatively (or in addition), the isolator may include a panel isolator disposed at least partially between a housing of the cleaning apparatus and a panel.

The embodiments of the present disclosure provide a robot and a control method therefor. In the robot control method, a robot may acquire posture data of a user in response to a posture interaction wakeup instruction, determine a target operation region according to the posture data of the user, and in case that the target operation region is different from a region that a current position of the robot belongs to, move to the target operation region so as to perform a set operation task. Further, the robot implements operations while moving based on user postures without the limitation of region division, thereby further improving the robot control flexibility.

The embodiments of the present disclosure provide a robot and a control method therefor. In the robot control method, a robot may acquire posture data of a user in response to a posture interaction wakeup instruction, determine a target operation region according to the posture data of the user, and in case that the target operation region is different from a region that a current position of the robot belongs to, move to the target operation region so as to perform a set operation task. Further, the robot implements operations while moving based on user postures without the limitation of region division, thereby further improving the robot control flexibility.