Samsung Electronics Co., Ltd.

Jeong Ki Yoo

Dong Hun Lee

Dong Min Shin

Dong Hyun Lee

Sung Jin Park

Heum Yong Park

Jae Youl Jeong

In Joo Kim

Shin Hyoung Kim

Jin Sung Kim

Jun Young Lee

In Hak Na

Ji Won Chun

Disclosed is a cleaning robot for creating a 3Dimensional (3D) obstacle map including information about a height of an object existing on an area to be cleaned, and cleaning the area to be cleaned based on the 3D obstacle map, and a method of controlling the cleaning robot. In accordance with an aspect of the present disclosure, there is provided. The cleaning robot includes a main body, a moving portion configured to move the main body, an obstacle sensor configured to sense a height of an obstacle, and a controller configured to create an obstacle map including information about the height of the obstacle.

Cleaning robot and controlling method thereof

A cleaning robot includes a main body and a drive unit to move the main body. The drive unit includes a plurality of motors to generate driving force; a plurality of wheels connected to one of the plurality of motors and rotating by driving force received from the one of the plurality of motors; and a driving frame to support the plurality of wheels, receive driving force from another motor among the plurality of motors, and rotate for changing positions of the plurality of wheels.

Cleaning robot

Disclosed herein is a cleaning robot including an improved driving unit to escape from an undriveable state occurring under various driving conditions. The cleaning robot includes a body, and a driving unit that drives the body. The driving unit includes a first driving motor and a second driving motor that generate driving power; a driving wheel that rotates when the driving power is delivered to the driving wheel from the first driving motor; and a wheel frame that supports the driving wheel to be rotatable and rotates between a first position and a second position with respect to a motor shaft of the first driving motor. The wheel frame rotates in at least one section between the first position and the second position when the driving power is delivered to the wheel frame from the second driving motor.

Driving unit and cleaning robot comprising same

A cleaning robot includes a main body; a plurality of pad assemblies mounted on the bottom of the main body for doing cleaning; a drive assembly for applying drive power for each of the plurality of pad assemblies; and a detection unit for detecting an obstacle. The drive assembly adjusts slopes of the plurality of pad assemblies individually based on the height of the obstacle.

Cleaning robot and method for controlling the same

A cleaning robot including a main body, a pad mounted below the main body to implement cleaning, and a drive assembly to apply drive power to the pad. The drive assembly moves the main body to a target position by adjusting the drive power. The cleaning robot may move at a high speed owing to omni-directional movement thereof without rotation of the main body. Further, the cleaning robot may imitate a human wiping pattern, thus achieving enhanced cleaning efficiency. Furthermore, various cleaning patterns including a straight pattern and a curvilinear pattern may be applied to the cleaning robot.

A cleaning robot having improved traveling performance and a method of controlling the same. The cleaning robot detects a stuck state such as a 'jammed state', 'lifted state', or &#x2018;object-caught state&#x2019; by using a motion instruction or sensor information and quickly escapes from the stuck state caused in various traveling conditions by using a wheel structure capable of changing a total height of the cleaning robot. In addition, a degree of risk and type of the stuck state is predicted before the cleaning robot is in the stuck state so that the cleaning robot may deal with the stuck state in advance. The cleaning robot may escape from the stuck state via rapidly deceleration or quick stopping in accordance with the predicted degree of risk of the stuck state, and the cleaning robot may efficiently deal with the stuck state by using information to select an escaping method suitable for the type of the stuck state.

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Suwon-si, South Korea

Jeong Ki Yoo