Samsung Electronics Co., Ltd.

Soon Yong Park

Kyung Shik Roh

Suk June Yoon

No San Kwak

So Hee Lee

Ji Min Kim

Sung Hwan Ahn

Min Yong Choi

Shin Hyoung Kim

Won Jun Hwang

Hyo Seok Hwang

Bo Kyung Kim

Joong Kyung Park

Ji Hyo Lee

Si Ho Jang

Mi Jeong Song

Ji Ho Seo

Bo Young Kim

Jun Hong Min

Won Ho Shin

Hong Jun Kim

Wook Bahn

Young Pil Jeon

According to various embodiments of the present invention, an electronic device comprises: a memory including instructions and a training database, which includes data, on at least one object, acquired on the basis of an artificial intelligence algorithm; at least one sensor; and a processor connected to the at least one sensor and the memory, wherein the processor can be configured to execute the instructions in order to acquire data on a designated area including the at least one object by using the at least one sensor, identify location information and positioning information on the at least one object on the basis of the training database, and transmit a control signal for picking the at least one object to a picking tool related to the electronic device on the basis of the identified location information and positioning information.

Apparatus and method for identifying and picking object using artificial intelligence algorithm

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

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

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

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

In some example embodiments, a position recognition method of an autonomous mobile robot may include: dividing a grid map into a plurality of spaces; extracting, by a processor, learning data of each of the plurality of spaces; generating, by the processor, space models of each of the plurality of spaces using the extracted learning data; and/or recognizing, by the processor, a current position of the autonomous mobile robot based on the extracted learning data, the space models, and actual range scan data input through the autonomous mobile robot.

Position recognition methods of autonomous mobile robots

Data matching includes receiving a piece of first relational data and a piece of second relational data. The piece of first relational data is associated with a plurality of pieces of first data, and the piece of second relational data is associated with a plurality of pieces of second data. An approximate value of the piece of second relational data is calculated. A similarity is calculated based on the piece of first relational data and the approximate value of the piece of second relational data. A correspondence between a piece of the first data and a piece of the second data is determined based on the calculated similarity. An alignment parameter is calculated based on the determined correspondence, and a first data group including the piece of the first data is matched with a second data group including the piece of the second data based on the alignment parameter.

Growing community of inventors

Bucheon-si, South Korea

Soon Yong Park