Artificial intelligence cleaner and method of operating the same

1. An artificial intelligence cleaner comprising:

a memory configured to store a simultaneous localization and mapping (SLAM) map for a cleaning space;

a driving unit configured to drive the artificial intelligence cleaner; and

a processor configured to:

collect a plurality of cleaning logs for the cleaning space,

divide the cleaning space into a plurality of cleaning areas using the SLAM map and the collected plurality of cleaning logs,

determine a cleaning route of the artificial intelligence cleaner in consideration of the divided cleaning areas,

control the driving unit according to the determined cleaning route,

wherein the processor is further configured to:

input map data corresponding to the cleaning space and the cleaning logs to an area division model learned by using a machine learning algorithm or a deep learning algorithm,

obtain map data in which the cleaning space is divided into the plurality of cleaning areas, and

obtain division information for the plurality of cleaning areas using the obtained map data,

wherein the learned area division model includes an artificial neural network.

2. The artificial intelligence cleaner of claim 1 , wherein the divided plurality of cleaning areas are classified into one of a plurality of predetermined area types and include no sub cleaning areas which are not connected to one another.

3. The artificial intelligence cleaner of claim 2 , wherein the plurality of area types include a basic cleaning area and at least one of an obstacle area, a restraint area, a complicated area, or a passage area.

4. The artificial intelligence cleaner of claim 3 , wherein the processor is configured to determine the cleaning route such that the artificial intelligence cleaner preferentially cleans a first cleaning area which is classified into the basic cleaning area and subsequently cleans a second cleaning area which is not classified into the basic cleaning area.

5. The artificial intelligence cleaner of claim 2 , wherein the processor is configured to:

set cleaning modes for the area types respectively, and

control the driving unit according to the set cleaning mode,

wherein the cleaning modes include at least a normal cleaning mode, a simple cleaning mode and a non-cleaning mode.

6. The artificial intelligence cleaner of claim 5 , wherein the processor is configured to:

determine priorities between the area types, and

determine the cleaning route in consideration of the determined priorities, the set cleaning mode, and proximity between the divided cleaning areas.

7. The artificial intelligence cleaner of claim 6 , further comprising:

a communication unit configured to communicate with a user terminal device,

wherein the processor is configured to provide, via the communication unit, information on the divided cleaning areas to the user terminal device.

8. The artificial intelligence cleaner of claim 7 , wherein the processor is configured to, when receiving cleaning mode setting information on the cleaning modes for the area types from the user terminal device via the communication unit, set cleaning modes for the area types respectively according to the received cleaning mode setting information and control the driving unit according to the set cleaning mode.

9. The artificial intelligence cleaner of claim 7 , wherein the processor is configured to, when receiving priority setting information on the priorities from the user terminal device via the communication unit, set the priorities between the area types according to the received priority setting information and determine the cleaning route according to the set priorities.

10. The artificial intelligence cleaner of claim 2 , wherein the plurality of cleaning logs include at least one of a required cleaning time, whether cleaning is performed, a cleaning result value, a number of times of cleaning, whether an obstacle is detected, or whether restraint occurs, with respect to each cleaning unit in the cleaning space.

11. The artificial intelligence cleaner of claim 10 , wherein the processor is configured to classify each of the cleaning areas into one of the predetermined area types using a preset condition related to at least one of the required cleaning time, whether cleaning is performed, the cleaning result value, the number of times of cleaning, whether an obstacle is detected, or whether restraint occurs, when dividing the cleaning space into the plurality of cleaning areas.

12. A method of operating an artificial intelligence cleaner, the method comprising:

collecting a plurality of cleaning logs for a cleaning space;

dividing the cleaning space into a plurality of cleaning areas using a simultaneous localization and mapping (SLAM) map of the cleaning space and the collected plurality of cleaning logs;

determining a cleaning route of the artificial intelligence cleaner in consideration of the divided cleaning areas; and

controlling a driving unit for driving the artificial intelligence cleaner according to the determined cleaning route,

wherein the method further comprises:

inputting map data corresponding to the cleaning space and the cleaning logs to an area division model learned by using a machine learning algorithm or a deep learning algorithm,

obtaining map data in which the cleaning space is divided into the plurality of cleaning areas, and

obtaining division information for the plurality of cleaning areas using the obtained map data,

wherein the learned area division model includes an artificial neural network.

13. A non-transitory recording medium having a program recorded thereon for a method of operating an artificial intelligence cleaner, wherein the method comprises:

collecting a plurality of cleaning logs for a cleaning space;

dividing the cleaning space into a plurality of cleaning areas using a simultaneous localization and mapping (SLAM) map of the cleaning space and the collected plurality of cleaning logs;

determining a cleaning route of the artificial intelligence cleaner in consideration of the divided cleaning areas; and

controlling a driving unit for driving the artificial intelligence cleaner according to the determined cleaning route,

wherein the method further comprises:

inputting map data corresponding to the cleaning space and the cleaning logs to an area division model learned by using a machine learning algorithm or a deep learning algorithm,

obtaining map data in which the cleaning space is divided into the plurality of cleaning areas, and

obtaining division information for the plurality of cleaning areas using the obtained map data,

wherein the learned area division model includes an artificial neural network.