Lg Electronics Inc.

Seongsu Lee

Seungmin Baek

Yiebin Kim

Sangik Na

Suuk Choe

Donghoon Yi

Jeongsuk Yoon

Tae-Kyeong Lee

Se-Young Oh

Sanghoon Baek

Kwangro Joo

Disclosed are a robot cleaner and a method for controlling the same. The robot cleaner may prevent repeated executions of a cleaning operation by recognizing its position through an absolute position recognition unit, in a case that the cleaning operation is performed again after being forcibly stopped due to arbitrary causes. And, the robot cleaner may solve a position recognition error by a relative position recognition unit with using an image detection unit, and may effectively perform a cleaning operation based on a similarity between an image detected by the image detection unit and an image with respect to a cleaning region. This may improve the system efficiency and stability, and enhance a user's convenience.

Robot cleaner and controlling method of the same

Disclosed are a mobile robot and a controlling method of the same. The mobile robot is capable of reducing a position recognition error and performing a precise position recognition even in the occurrence of a change of external illumination, through geometric constraints, when recognizing its position with using a low quality camera (e.g., camera having a low resolution). Furthermore, feature points may be extracted from images detected with using a low quality camera, and the feature points may be robustly matched with each other even in the occurrence of a change of external illumination, through geometric constraints due to the feature lines. This may enhance the performance of the conventional method for recognizing a position based on a camera susceptible to a illumination change, and improve the efficiency of a system.

Control of mobile robot by detecting line intersections

A robot cleaner and a method for controlling the same are provided. A region to be cleaned may be divided into a plurality of sectors based on detection data collected by a detecting device, and a partial map for each sector may be generated. A full map of the cleaning region may then be generated based on a position of a partial map with respect to each sector, and a topological relationship between the partial maps. Based on the full map, the robot cleaner may recognize its position, allowing the entire region to be completely cleaned, and allowing the robot cleaner to rapidly move to sectors that have not yet been cleaned.

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Seoul, South Korea

Seongsu Lee