MOBILE ROBOT AND CONTROLLING METHOD OF THE SAME

• US 20130073088A1
• Filed: 08/10/2012
• Published: 03/21/2013
• Est. Priority Date: 09/20/2011
• Status: Abandoned Application

• Current Assignee: LG Electronics, Inc. (LG Corporation)
• Original Assignee: Seongsoo Lee
• Inventors: Baek, Seungmin, Lee, Seongsoo
• Application Number:
  US13/571,902
• Publication Number:
  US 20130073088A1
• Time in Patent Office: Days
• US Class Current: 700/259
• CPC Class Codes: G05D 1/0225 involving docking at a fixed facility, e.g. base station or loading bay parking aids B62D15/027
• CPC Class Codes: G05D 1/0246 using a video camera in combination with image processing means
• CPC Class Codes: G05D 1/0274 using mapping information stored in a memory device navigation using map-matching G01C21/30

Abstract

In a mobile robot and a controlling method of the same, the mobile robot is able to recognize a precise position thereof by detecting a plurality of images through an image detection unit, extracting one or more feature points from the plurality of images, and comparing and matching information related to the feature points. The mobile robot is also able to easily detect a position of a charging station based on image information, and quickly move to the charging station upon the lack of residual battery capacity. The mobile robot is also able to detect a position of the charging station based on the image information and receive a guideline signal within a signal reception range, so as to easily dock with the charging station.

Claims

1. A mobile robot comprising:

an image detection unit configured to detect image information by capturing images of surroundings;

a storage unit configured to store the image information; and

a controller configured to recognize an absolute position by comparing currently detected image information with stored image information, and detect a position of a charging station based on the recognition result of the absolute position.

2. The robot of claim 1, wherein the storage unit further stores position information corresponding to the image information.

3. The robot of claim 2, wherein the controller compares image information related to a region where the charging station is located with the currently detected image information, and detects the position of the charging station based on the comparison result.

4. The robot of claim 1, wherein the controller comprises:

a feature point extraction module configured to extract one or more feature points, each having feature point information, from the image information detected by the image detection unit and the image information stored in the storage unit;

a similarity calculation module configured to calculate a similarity between those image information by comparing the feature point information; and

a position recognition module configured to recognize the absolute position based on the similarity.

5. The robot of claim 4, wherein the controller further comprises:

a feature point cluster generation module configured to divide the feature points into a predetermined number of feature point clusters;

a central point extraction module configured to extract a central point representative of feature points within each of the feature point clusters; and

a central point matching module configured to match the central points with each other based on the feature point information related to the central points.

6. The robot of claim 5, wherein the controller further comprises a feature point matching module configured to match feature points within images, having a similarity calculated more than a predetermined reference value, with feature points within the newly detected images.

7. The robot of claim 1, further comprising an object sensing unit having a charging signal sensor to receive a guideline signal transmitted by the charging station.

8. A controlling method for a mobile robot comprising:

an image detecting step of detecting image information by capturing images of surroundings;

an image comparing step of comparing the currently detected image information and pre-stored image information;

a position recognizing step of recognizing an absolute position of the mobile robot based on the comparison result from the image comparing step; and

a charging station detecting step of detecting a position of the charging station based on the recognition result of the absolute position.

9. The method of claim 8, further comprising an information storing step of storing the image information and position information corresponding to the image information.

10. The method of claim 8, wherein the image comparing step comprises:

extracting one or more feature points, each having feature point information, from the image information; and

calculating a similarity between those image information by comparing the feature point information.

11. The method of claim 10, wherein the image comparing step comprises:

dividing the feature points into a predetermined number of feature point clusters;

extracting a central point representative of feature points within each of the feature point clusters; and

matching those central points with each other based on the feature point information related to the central points.

12. The method of claim 8, further comprising a signal receiving step of receiving a guideline signal transmitted by the charging station.

13. The method of claim 12, further comprising:

a map generating step of generating an indoor map based on the image information and the absolute position; and

a moving step of moving the mobile robot based on the indoor map.

14. A mobile robot comprising:

an image detection unit configured to detect image information by capturing images of surroundings;

a storage unit configured to store the image information;

an object sensing unit having a charging signal sensor to receive a guideline signal transmitted by the charging station; and

a controller configured to recognize an absolute position by comparing currently detected image information with stored image information, detect a position of a charging station based on the recognition result of the absolute position, and dock the mobile robot with the charging station according to the guideline signal.

15. The robot of claim 14, wherein the storage unit further stores position information corresponding to the image information.

16. The robot of claim 15, wherein the controller compares image information related to a region where the charging station is located with the currently detected image information, and detects the position of the charging station based on the comparison result.

17. The robot of claim 14, wherein the controller comprises:

a feature point extraction module configured to extract one or more feature points, each having feature point information, from the image information detected by the image detection unit and the image information stored in the storage unit;

a similarity calculation module configured to calculate a similarity between those image information by comparing the feature point information; and

a position recognition module configured to recognize the absolute position based on the similarity.

18. The robot of claim 17, wherein the controller further comprises:

a feature point cluster generation module configured to divide the feature points into a predetermined number of feature point clusters;

a central point extraction module configured to extract a central point representative of feature points within each of the feature point clusters; and

a central point matching module configured to match the central points with each other based on the feature point information related to the central points.

19. The robot of claim 18, wherein the controller further comprises a feature point matching module configured to match feature points within images, having a similarity calculated more than a predetermined reference value, with feature points within the newly detected images.

20. The robot of claim 14, wherein the object sensing unit further comprises one or more of first sensors installed at an outer circumferential surface at the front of a main body, a second sensor installed to have a surface protruding to the outside of the main body, and a cliff sensor installed at a lower surface of the main body to sense a cliff.