Lg Electronics Inc.

Yonsei University

Lg Etectronics Inc.

Dongki Noh

Seungmin Baek

Seungwook Lim

Taekyeong Lee

Gyuho Eoh

Yeonsoo Kim

Jaekwang Lee

Junghwan Kim

Jeongwoo Ju

Wonkeun Yang

Hoyoung Lee

Sunghun Lee

Jeongsuk Yoon

Juhyeon Lee

Seungmyun Baek

Hyungrock Kim

Jisu Kim

Minho Lee

Inbo Shim

Jongwoo Han

Sangyun Lee

Seongsoo Lee

Chulmo Sung

Euntai Kim

Kahyung Choi

Beomseong Kim

Jaemin Lee

Sungyeon Park

Kwangho An

Minkuk Jung

Younguk Ku

The present specification relates to a mobile robot system and a boundary information generation method for the mobile robot system, the mobile robot system comprising a signal processing device that comprises a receiving tag for receiving a transmission signal and a distance sensor, so as to recognize coordinate information about a spot at which the point of the distance sensor is designated on the basis of the reception result of the receiving tag and the distance measurement result of the distance sensor, thereby generating boundary information according to the path designated as the point of the distance sensor on the basis of the recognized coordinate information.

Mobile robot system and boundary information generation method for mobile robot system

Disclosed is a moving robot including: a travel unit configured to move a body; an image acquisition unit configured to acquire a surrounding image of the body; a sensor unit having one or more sensors configured to detect an obstacle while the body moves; a controller configured to: upon detection of an obstacle by the sensor unit, recognize an attribute of the obstacle based on an image acquired by the image acquisition unit, and control driving of the travel unit based on the attribute of the obstacle; and a sound output unit configured to: output preset sound when the recognized attribute of the obstacle indicates a movable obstacle. Accordingly, the moving robot improves stability, user convenience, driving efficiency, and cleaning efficiency.

Moving robot and control method thereof

A controlling method for an artificial intelligence moving robot according to an aspect of the present disclosure includes: checking nodes within a predetermined reference distance from a node corresponding to a current position; determining whether there is a correlation between the nodes within the reference distance and the node corresponding to the current position; determining whether the nodes within the reference distance are nodes of a previously learned map when there is no correlation; and registering the node corresponding to the current position on the map when the nodes within the reference distance are determined as nodes of the previously learned map, thereby being able to generate a map in which the environment of a traveling section and environmental changes are appropriately reflected.

Controlling method for artificial intelligence moving robot

A mapping method of a lawn mower robot may include a first image mapping operation of generating a first travel image of a three-dimensional region based on an aerial image of a work target region, a first map displaying operation of dividing the first travel image into a mowing region and an obstacle region, converting the first travel image into a first travel map, and displaying the first travel map. The mapping method may include a first anchor displaying operation of recommending the number and installation locations of anchors on the first travel map, an anchor location determination operation of determining whether the anchors are installed at the installation locations, and a path generation operation of generating a travel path of the lawn mower robot on the first travel map. The mapping method may improve work efficiency of the lawn mower robot.

Mapping method of lawn mower robot

The present disclosure provides a method for controlling a robot cleaner including a travel operation in which the robot cleaner travels, a recognition operation in which when the robot cleaner contacts an obstacle during the travel, the robot cleaner determines whether the obstacle is pushed by the robot cleaner and slides, and an obstacle bypass operation in which upon determination that the obstacle is the pushed-and-sliding obstacle, the robot cleaner stops the travel and then bypasses the pushed-and-sliding obstacle.

Robot cleaner and method for controlling the same

A method of controlling a mobile robot includes a first basic learning process of generating a first basic map based on environment information acquired in a traveling process, a second basic learning process of generating a second basic map based on environment information acquired in a separate traveling process, and a merging process of merging the first basic map and the second basic map to generate a merged map.

Method of controlling mobile robot

The present invention relates to an image processing apparatus and a mobile robot including the same. The image processing apparatus according to an embodiment of the present invention includes an image acquisition unit for obtaining an image and a processor for performing signal processing on the image from the image acquisition unit, and the processor is configured to group super pixels in the image on the basis of colors or luminances of the image, calculate representative values of the super pixels and perform segmentation on the basis of the representative values of the super pixels. Accordingly, image segmentation can be performed rapidly and accurately.

Image processing apparatus and mobile robot including same

A mobile robot includes a traveling unit configured to move a main body, a LiDAR sensor configured to acquire geometry information, a camera sensor configured to acquire an image of the outside of the main body, and a controller. The controller generates odometry information based on the geometry information acquired by the LiDAR sensor. The controller determines a current location of the mobile robot by performing feature matching between images acquired by the camera sensor based on the odometry information. The controller combines the information obtained by the camera sensor and the LiDAR sensor to accurately determine the current location of the mobile robot.

Mobile robot and method of controlling the same

A mobile robot and a method of controlling the mobile robot are disclosed. The method includes acquiring an image of an inside of a traveling zone. The method further includes performing a point-based feature point extraction by extracting a first feature point from the acquired image. The method also includes performing a block-based feature point extraction by dividing the acquired image into blocks having a predetermined size and extracting a second feature point from each of the divided block-unit images. The method also includes determining the current location by performing a point-based feature point matching using the first feature point and performing a block-based feature point using the second feature point. The method also includes storing the determined current location in association with the first feature point and the second feature point in a map.

Mobile robot control method

A mobile robot includes a travel drive unit configured to move a main body, an image acquisition unit configured to acquire a plurality of images by continuously photographing surroundings of the main body, a storage configured to store the plurality of continuous images acquired by the image acquisition unit, a sensor unit having one or more sensors configured to sense an object during the movement of the main body, and a controller configured to, in response to the sensing of the object by the sensor unit, select an image acquired at a specific point in time earlier than an object sensing time of the sensor unit from among the plurality of continuous images based on a moving direction and a moving speed of the main body, and recognize an attribute of the object included in the selected image acquired at the specific point in time.

Mobile robot and control method for controlling the same

A method of controlling a mobile robot includes a learning initial operation of acquiring images for respective points, generating descriptors that respectively correspond to a plurality of feature points extracted from the images, and generating nodes that correspond to the images acquired at the respective points, a label generation operation of generating a label descriptor based on the plurality of descriptors, a localization initial operation of acquiring a localization image when a jumping case occurs, and generating respective localization descriptors corresponding to a plurality of localization feature points extracted from the localization image, a comparison target selection operation of matching the label descriptor to each of the localization descriptors and selecting one or more comparison target nodes corresponding to the matched label descriptor, and a last node selection operation of selecting a node estimated as the current position among the one or more comparison target node.

A mobile robot includes a travel drive unit configured to move a main body, an image acquisition unit configured to acquire an image of surroundings of the main body, a sensor unit having one or more sensors configured to sense an object during the movement of the main body, a storage configured to, when the sensor unit senses an object, store position information of the sensed object and position information of the mobile robot, register an area having a predetermined size around a position of the sensed object as an object area in a map, and store the image acquired by the image acquisition unit in the object area, and a controller having an object recognition module configured to recognize the object sequentially with respect to images acquired by the image acquisition unit in the object area, and determine a final attribute of the object based on a plurality of recognition results of the sequential recognition.

A method of controlling a moving-robot includes creating a plurality of maps having different generation-time information through a plurality of driving processes; choosing any one of the plurality of maps according to a certain map choosing algorithm based on current time information and the generation-time information, and attempting location recognition based on the chosen map.

Moving robot and control method for the same

A controlling method for an artificial intelligence moving robot according to an aspect of the present disclosure includes: moving based on a map including a plurality of regions; acquiring images from the plurality of regions through an image acquisition unit during the moving; extracting region feature information based on the acquired image; and storing the extracted region feature information in connection with position information when an image is acquired.

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Seoul, South Korea

Dongki Noh