Invention Grant
- Patent Title: Mobile robot and mobile robot control method
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Application No.: US16096604Application Date: 2017-04-25
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Publication No.: US10939791B2Publication Date: 2021-03-09
- Inventor: Seungwook Lim , Taekyeong Lee , Dongki Noh
- Applicant: LG ELECTRONICS INC.
- Applicant Address: KR Seoul
- Assignee: LG ELECTRONICS INC.
- Current Assignee: LG ELECTRONICS INC.
- Current Assignee Address: KR Seoul
- Agency: KED & Associates, LLP
- Priority: KR10-2016-0050210 20160425
- International Application: PCT/KR2017/004388 WO 20170425
- International Announcement: WO2017/188706 WO 20171102
- Main IPC: A47L9/28
- IPC: A47L9/28 ; B25J11/00 ; B25J9/16 ; B25J9/00 ; B25J19/02 ; A47L5/12 ; G05D1/02

Abstract:
The present invention relates to a moving robot capable of recognizing a position on a map and a control method of the moving robot, and the moving robot according to the present invention includes: a travel drive unit configured to move a main body; an image acquisition unit configured to acquire images of surroundings; and a controller configured to recognize a current position. The controller is further configured to separate the travel area by the predetermined criterion into a plurality of large areas, into which the plurality of small areas is grouped; compute each large area feature distribution and the at least one recognition descriptor by a predetermined superordinate estimation rule to select a large area in which the current position is included; and compute the small area feature distribution and the at least one recognition descriptor by the predetermined estimation rule to select a small area, in which the current position is included, from among a plurality of small areas included in the selected large area.
The control method according to the present invention includes: a learning process of learning a travel area to generate a map and separating the travel area into a plurality of small areas by a predetermined criterion; and a recognition process of selecting a current position on the map. The recognition process includes: a recognition descriptor generation process of acquiring an image of the current position, extract at least one recognition feature from the acquired image, and generating a recognition descriptor corresponding to the at least one recognition feature. The recognition process includes: a large area selection process of computing each large area feature distribution and the at least one recognition descriptor by a predetermined superordinate estimation rule to select a large area in which the current position is included.
The control method according to the present invention includes: a learning process of learning a travel area to generate a map and separating the travel area into a plurality of small areas by a predetermined criterion; and a recognition process of selecting a current position on the map. The recognition process includes: a recognition descriptor generation process of acquiring an image of the current position, extract at least one recognition feature from the acquired image, and generating a recognition descriptor corresponding to the at least one recognition feature. The recognition process includes: a large area selection process of computing each large area feature distribution and the at least one recognition descriptor by a predetermined superordinate estimation rule to select a large area in which the current position is included.
Public/Granted literature
- US20190133396A1 MOBILE ROBOT AND MOBILE ROBOT CONTROL METHOD Public/Granted day:2019-05-09
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