Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Snu Rdb Foundation

Kyung Shik Roh

Suk June Yoon

Seung Yong Hyung

Sung Hwan Ahn

Woong Kwon

Young Bo Shim

San Lim

Young Do Kwon

Won Jun Hwang

No San Kwak

Soon Yong Park

Myung Hee Kim

Hyo Seok Hwang

Bok Man Lim

Kwang Kyu Lee

Yong Jae Kim

Hyun Kyu Kim

Sukjune Yoon

So Hee Lee

Youn Baek Lee

Ji Young Kim

Joo Hyung Kim

Min Hyung Lee

Kee Hong Seo

Kyung Won Moon

Ju Suk Lee

Ho Seong Kwak

Jong Won Lee

Byung June Choi

Seung Ki Min

Ji Min Kim

Tae Sin Ha

Jong Do Choi

Ji Hyo Lee

Min Yong Choi

Dong Soo Kim

Shin Hyoung Kim

Jeong Hun Kim

Jeong Hwan Kim

Joong Kyung Park

Woosup Han

Jae Ho Park

Se Gon Roh

Guo Chunxu

Dong Min Shin

Heum Yong Park

Ji Yeun Kim

Byung Kwon Choi

Jun Won Jang

Si Ho Jang

Suk Hoon Jung

Won Ho Shin

Dong Soo Han

Byeong Cheol Moon

Yong-Seok Kim

Soon Ryong Park

Sang Sik Yoon

Hyun Soo Jung

Bo Kyung Kim

Jea Yun So

Suk Hyun

Ja Woo Lee

Jung Yun Choi

Kyong Su Kim

Seung Hoon Shin

Hee Kuk Lee

Igor Ivanov

Ji Ho Seo

Mi Jeong Song

Jong Gap Lee

Hyun Seok Yang

Bo Young Kim

Tae Jun Sang

Jun Hong Min

Xiangsheng Huang

Hong Jun Kim

Woo Seok Han

Dong Jun Hyun

Jeong Heon Han

Sang Il Hong

Byoung Tak Zhang

Wook Bahn

Jeong-heon Han

Jae Chun Yoo

Dong Hyun Kwak

Eun Sol Kim

Kyoung Woon On

Huang Xiangsheng

Guo Chun Xu

Sung Hwa Ahn

Young Pil Jeon

Guochunxu

Ji Seob Kim

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

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

The objective of the present invention is to provide: a robot arm extension device capable of adjusting an operating radius according to the operation environment and requirements of a robot in industrial sites; and a robot including the robot arm extension device. The robot arm extension device according to the present invention comprises: a housing; an adapter formed on one side of the housing and connected to the robot; a length extending part embedded in the housing and withdrawn from or inserted into the housing; and a driving part for providing the driving power of the length extending part.

Robot arm extension device and robot including same

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 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 endoscopic surgical instrument may include: two surgical instrument modules, each of which is provided with a surgical instrument portion; and/or an endoscopic module configured to form a triangular shape with the two surgical instrument modules and configured to capture operations of the surgical instrument modules at different angles using a plurality of joints. Wires connecting respective members coupled by the plurality of joints may be configured to amplify drive forces of a drive portion applied to the plurality of joints. The plurality of joints may include rolling joints at which teeth of gears engage and rotate with each other. The plurality of joints may provide three or more degrees of freedom to the endoscopic module.

Endoscopic surgical instruments

A motion assistive apparatus may include a receiver allowing a user to intuitively adjust performance of the motion assistive apparatus and a method of controlling the same. The motion assistive apparatus may include a receiver provided to adjust variable characteristics of the motion assistive apparatus, a processor to adjust a variable parameter related to adjustment of the variable characteristics, in response to adjustment of the variable characteristics through the receiver, and an actuator to output changed assist power in response to adjustment of the variable parameter to change the variable characteristics.

Motion assistive apparatus and method of controlling 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

Growing community of inventors

Seongnam-si, South Korea

Kyung Shik Roh