Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Snu Rdb Foundation

Suk June Yoon

Kyung Shik Roh

Sung Hwan Ahn

Seung Yong Hyung

No San Kwak

Hyo Seok Hwang

Soon Yong Park

Won Jun Hwang

So Hee Lee

Young Bo Shim

Min Yong Choi

Young Do Kwon

Ji Min Kim

Shin Hyoung Kim

Joong Kyung Park

Ji Hyo Lee

Suk Hoon Jung

Dong Soo Han

Won Ho Shin

Byeong Cheol Moon

Dong Soo Kim

Hyun Do Choi

Woong Kwon

Soon Ryong Park

Hyun Kyu Kim

Jea Yun So

Hyung Sok Yeo

Bo Young Kim

Jong Gap Lee

Hong Jun Kim

Byoung Tak Zhang

Sang Il Hong

Dong Hyun Kwak

Seong Yong Hyung

Huang Xiangsheng

Eun Sol Kim

Sung Hwa Ahn

Kyoung Woon On

Ji Seob Kim

Young Pil Jeon

Sang Ll Hong

A server may include a communication circuit communicating with a user terminal, storage including a fingerprint DB storing fingerprints corresponding to a plurality of points and a signal fluctuation probability DB, and a processor electrically connected to the communication circuit and the storage. The processor may be configured to store similarity between first signal strength and second signal strength, which are determined based on a probability that a pair of the first signal strength and the second signal strength received from a first AP occurs with respect to fingerprints corresponding to a first point, in the signal fluctuation probability DB, to obtain a fingerprint including signal strength received from the first AP, from the user terminal, and to determine a location of the user terminal based on the obtained fingerprint and the signal fluctuation probability DB.

Method for providing location information and apparatus therefor

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 home robot device includes a memory, a movement module, and a processor. The processor is configured to execute a motion based on specified motion execution information stored in the memory, obtain feedback information of a user, generate modified motion execution information by modifying at least a portion of the specified motion execution information based on the feedback information of the user, where the modified motion execution information includes a movement value of at least one joint unit of the home robot device or at least one support linked to the at least one joint unit selected from a probability model of the specified motion execution information, and execute a motion of the home robot device based on the modified motion execution information.

Operation method for activation of home robot device and home robot device supporting the same

A robot for performing hand-eye calibration is provided. The robot includes a robot arm including a plurality of joints, a plurality of arm sections, and an end effector, a communication interface, and a control circuit. The control circuit controls the robot arm to place the external object on a worktable after the external object is grasped by the end effector, acquires coordinates of a central point of the external object in a coordinate system of the camera from an image of the external object, and calculates a calibration parameter for defining a relation between a coordinate system of the end effector and the coordinate system of the camera, based on coordinates of the end effector in a base coordinate system of the robot and coordinates of the central point of the external object in the coordinate system of the camera when the external object is placed on the worktable.

Robot and electronic device for performing hand-eye calibration

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

Surgical trocars, and image acquisition method using the same, include a body having a passage configured to receive at least one surgical instrument, and at least one camera movably coupled to an outer wall of the body.

Surgical trocars and image acquisition method using the same

An electronic device, capable of being placed on a cradle, may include a camera module configured to acquire an image, a sensor module configured to sense information regarding an orientation of the electronic device, a processor configured to determine a target orientation of the electronic device based on the acquired image and a communication module configured to transmit the information regarding the orientation of the electronic device and information regarding the target orientation of the electronic device to the cradle.

Electronic device and cradle 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

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

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Seoul, South Korea

Suk June Yoon