Samsung Electronics Co., Ltd.

Smasung Electronics Co., Ltd.

No San Kwak

Kyung Shik Roh

Suk June Yoon

Soon Yong Park

Sung Hwan Ahn

So Hee Lee

Min Yong Choi

Ji Min Kim

Seung Yong Hyung

Shin Hyoung Kim

Ji Young Kim

Woong Kwon

Young Bo Shim

Soon Ryong Park

Won Jun Hwang

Jea Yun So

Bo Kyung Kim

Kwang Kyu Lee

Joong Kyung Park

Ji Ho Seo

Si Ho Jang

Mi Jeong Song

Jong Gap Lee

Bo Young Kim

Won Ho Shin

Hong Jun Kim

Disclosed are a mobile robot system including a server of creating and storing traveling information about moving space and a mobile robot of travelling on the moving space, wherein the mobile robot comprises a driving portion configured to move the mobile robot, a communication device configured to receive the traveling information from the server and a controller configured to control the driving portion based on the traveling information received from the communication device and wherein the server receives information about the moving space from at least one external robot, and creates the traveling information based on the information about the moving space.

Mobile robot system, mobile robot, and method of controlling the mobile robot system

Disclosed herein are a movable object and a movable object control method. The movable object control method may include acquiring an image of a movable object's surroundings, acquiring a signal having strength changing depending on a location of the movable object, generating a map on the basis of the signal and the image of the surroundings of the movable object, and applying the map to an algorithm to acquire a learned algorithm.

Movable object and control method thereof

Embodiments of the present disclosure relate to a movable object and a method for controlling the same. A method for controlling a movable object may include acquiring virtual data representing distances between each of a plurality of positions within an area and surfaces in the area, in a plurality of directions, respectively, based on a map of the area. An algorithm, such as a machine learning algorithm, may be executed that outputs positions corresponding to the virtual data. Actual distance data between the movable object and a plurality of surfaces in the vicinity of the movable object may be acquired. An actual position of the movable object may then be estimated corresponding to the actual distance data by executing the algorithm using the actual distance data. The movable object may be controlled based on the estimated actual position.

Movable object and method for controlling the same

A cleaning robot includes a data acquisition unit that acquires actual sensor data by measuring a distance from a current position to an object to be measured; a local map acquisition unit that acquires a local map by scanning the vicinity of the current position based on an environmental map stored in advance; and a processor that determines coordinates of the current position for the local map by performing matching between the local map and the actual sensor data, and determines a traveling direction based on the current position by calculating a main segment angle of a line segment existing in the local map.

Apparatus for localizing cleaning robot, cleaning robot, and controlling method of cleaning robot

Disclosed herein are an endoscope system and a control method thereof. The control method includes acquiring plural omnidirectional images of the surroundings of an endoscope using a stereo omnidirectional camera mounted on the endoscope, calculating distances between the endoscope and an object around the endoscope using the acquired plural omnidirectional images, and executing an operation to avoid collision between the endoscope and the object around the endoscope based on the calculated distances, thus facilitating safe operation of the endoscope.

Endoscope system and control method thereof

An electronic device to be put on a cradle may include a housing including a part in a hemispherical shape and physically coming into contact with the cradle in an arbitrary position when the electronic device is put on the cradle, a display arranged on another part of the housing, a camera module to obtain an image in a direction that the display faces, a sensor module to sense an orientation of the electronic device; and a processor to determine a target orientation of the electronic device based on the obtained image, and create control data to change the orientation of the electronic device based on the sensed orientation and the target orientation of the electronic device.

Electronic device and cradle therefore

A mobile robot and method for controlling the same are provided creating patches in images captured by a camera while the mobile robot is moving, estimating motion blur of the patches, and correcting the position of the mobile robot based on the patch from which the motion blur is eliminated, thereby increasing precision in tracking and reliability through accurate mapping. The mobile robot includes a main body, a traveler to move the main body, a camera combined with the main body to capture an image of a surrounding of the main body, a position detector to create a patch in the image captured by the camera, estimate a motion blur of the patch, and track a position of the main body based on the created patch from which the motion blur is eliminated, and a controller to control the traveler based on the position of the main body.

Mobile robot and method for controlling the same

There is provided a method of controlling a wearable robot. The method includes measuring an electrical signal from a scalp of a wearer, estimating a current walking speed of the wearer using the measured electrical signal, and outputting assistive torque which allows the estimated current walking speed to approximate a target walking speed.

Wearable robot and method of controlling the same

Embodiments of the present disclosure relate to a robot cleaner and a control method of the robot cleaner, more particularly, to a robot cleaner configured to correct position information of the robot cleaner by acquiring a position of a docking station during the robot clear drives and to correct a map by using corrected position information, and a control method of the robot cleaner.

Robot cleaner and controlling method thereof

A robot that moves to a position indicated by a remote device, and a method for controlling the moving robot. The moving robot according to an embodiment includes a traveling unit that moves a main body, a light reception unit that receives light, and a control unit that determines a traveling direction of the moving robot by filtering the light received from the light reception unit in accordance with a probability-based filtering method, and controls the traveling unit so that the main body travels in the traveling direction.

Moving robot and method for controlling the same

An optical scanning probe and an apparatus to generate three-dimensional (3D) data using the same are provided. The apparatus to generate 3D data includes an optical scanning probe that scans light generated from a light emitter over an object to be measured, a distance calculation processor that calculates a distance between the optical scanning probe and the object to be measured, based on the light scanned over the object to be measured and light reflected from the object to be measured; and a depth image generation processor that generates 3D data based on a scanning direction of the optical scanning probe and the distance between the optical scanning probe and the object to be measured.

Optical scanning probe and apparatus for generating three-dimensional data using the same

A robot cleaner includes a traveling unit to move a main body, an obstacle sensing unit to sense an obstacle, a light reception unit to receive modulated light according to a control command of a user, and a controller to control the traveling unit so that the main body traces a light spot formed by the light. If an obstacle is detected, the controller controls the traveling unit such that the main body traces an outline of the obstacle according to the light spot position and the obstacle position.

Robot cleaner and method for controlling the same

A mobile apparatus and a localization method thereof which perform localization of the mobile apparatus using a distributed filter system including a plurality of local filters independently operated and one fusion filter integrating results of localization performed through the respective local filters, and additionally apply accurate topological absolute position information to the distributed filter system to improve localization performance (accuracy, convergence and speed in localization, etc.) of the mobile apparatus on a wide space. The mobile apparatus includes at least one sensor, at least one first distribution filter generating current relative position information using a value detected by the at least one sensor, at least one second distribution filter generating current absolute position information using the value detected by the at least one sensor, and a fusion filter integrating the relative position information and the absolute position information to perform localization.

Mobile apparatus and localization method thereof

A method of tracking a moving object includes measuring displacement of an object to be tracked, obtaining a particle of the object to be tracked using the measured displacement, and tracking the object using pose information of the object in an image thereof and the obtained particle. A control apparatus includes an imaging module to perform imaging of an object and generates an image, and a tracking unit to acquire displacement and pose information of the object using the generated image of the object, to set a particle of the object using the acquired displacement of the object, and to track the object using the pose information of the object and the particle.

Method of tracking moving object, method of determining display state of moving object, and control apparatus for tracking moving object

A method for estimating a location of a device uses a color image and a depth image. The method includes matching the color image to the depth image, generating a 3D reference image based on the matching, generating a 3D object image based on the matching, extracting a 2D reference feature point from the reference image, extracting a 2D reference feature point from the object image, matching the extracted reference feature point from the reference image to the extracted reference feature point from the object image, extracting a 3D feature point from the object image using the matched 2D reference feature point, and estimating the location of the device based on the extracted 3D feature point.

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Suwon-si, South Korea

No San Kwak