Yujin Robot Co., Ltd.

Other

Miele & Cie. Kg

Seong Ju Park

Kyung Chul Shin

Jae Young Lee

Jong Hyun Kim

Byung Kwon Moon

Moo Woong Cheon

Min Chang

No Soo Lee

Chang Soo Kim

Hee Kong Lee

Hyung O Kim

Dong Hyeon Seo

Myung Kyo Jeong

Seung Ho Jang

Ji Wook Kwon

Man Yeol Kim

Yeong Il Choe

James Stonier Daniel

Gi Yeon Park

Sang Hyun Kim

Dong Joon Kim

Yong Tae Moon

Sang Kyu Lee

Chang Woo Kim

Ki San Hwang

Ho Sang Yoo

Yun Jib Kim

Keun Man Song

Kyu Beom Lee

Jee Seon Kim

In Hwan Kwon

Wan Geun Kim

Ji Gwan Park

Jin Baek Kim

Nu Rim Han

Sung Bo Lee

Eong Hyeon Seo

Tae Young Lee

Yeol Kim Man

Moon Woong Cheon

Chang Oh Mun

The apparatus for detecting and removing a dynamic obstacle of a robot and the operating method thereof according to a predetermined exemplary embodiment detect and remove the dynamic obstacle while simultaneously performing the mapping and the localizing using the simultaneous localization and mapping (SLAM) technique to efficiently detect and remove a dynamic obstacle even in a situation in which a dynamic change of surrounding environment is severe and an environment to be localized is large.

Apparatus for detecting and removing dynamic obstacle for robot and operating method thereof

Provided are a LIDAR apparatus based on a time of flight and a moving object which output an electrical signal by transmitting and receiving light, generate a control signal by analyzing the electrical signal, measure a pin point distance by calculating a time of flight of the light based on the control signal, and process point cloud data generated based on a measured distance to accurately construct information on a surrounding environment.

LIDAR apparatus based on time of flight and moving object

A functional safety system of a robot according to an exemplary embodiment of the present disclosure can generate a safety zone which is a zone to sense whether an obstacle is present.

Apparatus and method for generating dynamic safety zone of mobile robot

According to the present invention, disclosed are a device and a method of generating an object image, recognizing an object, and learning an environment of a mobile robot which perform a deep learning algorithm which allows a robot to create a map and load environment information acquired during the autonomous movement while the autonomous mobile robot is being charged and may be used for an application which finds out a location by finally recognizing objects such as furniture using a method of checking a location of the recognized objects to mark the location on the map.

Device and method for generating object image, recognizing object, and learning environment of mobile robot

The present invention provides a method and a system for initialization diagnosis of a mobile robot. The present invention comprises the steps, executed by at least one processor included in a mobile robot, of executing an initialization diagnosis command to cause an initialization operation to be performed, the initialization operation being necessary to determine an initialization quality when a diagnosis target module transitions from an idle state to a wake-up state; receiving diagnosis acquisition information including a response according to the initialization diagnosis command in the wake-up state of the diagnosis target module; and, by using a task mission to be performed by the mobile robot and the diagnosis acquisition information, calculating an initialization quality evaluation result value indicating the initialization quality of the diagnosis target module, and executing a response operation according to the initialization quality evaluation result value.

Method and system for initialization diagnosis of mobile robot

Disclosed are an autonomously traveling mobile robot and a traveling control method thereof, which can control the traveling of the mobile robot according to a first traveling mode in which the mobile robot travels by following obstacles located around the mobile robot or a second traveling mode in which the mobile robot travels in consideration of a positional relation with an existing traveling trajectory through which the mobile robot has already traveled, and generate candidate spots where the mobile robot can travel while the mobile robot travels along the traveling trajectory to implement a spiral cleaning pattern.

Autonomously traveling mobile robot and traveling control method therefor

A moving path planning apparatus and method for a robot according to the exemplary embodiment of the present disclosure determine an actual moving path using a robot parameter set in advance on the basis of a moving path pattern acquired for every sub region of the map to determine an actual moving path of the robot in consideration of the turning radius of the robot.

Moving path planning apparatus and method for robot

The region segmentation apparatus and method for map decomposition of a robot according to the exemplary embodiment of the present disclosure segment the grid map into a plurality of regions in consideration of the graphic characteristic of the space and obstacles disposed in the space.

Region segmentation apparatus and method for map decomposition of robot

Disclosed are a mobile robot operation control method for safety management of a cleaning module and an apparatus therefor. The mobile robot operation control method for safety management according to an exemplary embodiment of the present disclosure includes a current measuring step of measuring a current value by sensing a current for a motor which is connected to a cleaning module to be driven; a cleaning module safety management step of determining a state of the cleaning module based on the measured current value and determining a safety management control mode based on the determination result; and an operation control step of controlling an operation of a mobile robot based on the safety management control mode.

Mobile robot operation control method for safety management of cleaning module and apparatus therefor

Disclosed is a Light Detection and Ranging (LIDAR) sensor which is capable of minimizing the size of a LIDAR sensor which is capable of performing 3D scanning and setting a region of interest for obtaining point cloud data with the removal of light scattering, by separating a transmitter module and a receiver module; disposing a transmitter, a mirror, and a receiver in a specific space so that light emitted from a light source or light reflected from a transmission mirror is reflected from a first reflection region of a moving mirror and is then moved to a target object, after which light reflected from the target object is reflected from a second reflection region of the moving mirror and is moved to the transmission mirror or a photodiode; installing a blocking wall separating movement paths of light; and adjusting the range of movement of the moving mirror.

3D scanning LIDAR sensor

The present exemplary embodiments provide a hybrid sensor, a Lidar sensor, and a moving object which generate composite data by mapping distance information on an obstacle obtained through the Lidar sensor to image information on an obstacle obtained through an image sensor and predict distance information of composite data based on intensity information of a pixel, to generate precise composite data.

Hybrid sensor and compact Lidar sensor

Lidar apparatus based on time of flight and moving object

Disclosed are an apparatus of recognizing a position of a mobile robot using edge based refinement and a method thereof. An apparatus of recognizing a position of a mobile robot includes two wide angle cameras which obtain one pair of stereo images on a region of interest including a vertical direction and a horizontal direction in accordance with movement of a mobile robot; and a position recognizing unit which extracts an edge from the obtained stereo images, projects each seed in a key frame selected based on the extracted edge onto the stereo images, updates a status parameter indicating rotation and movement of an optical camera along a direction in which the calculated cost is increased in accordance with the projected seed, and estimates a current position using the updated result.

Apparatus for recognizing position of mobile robot using edge based refinement and method thereof

Disclosed are a system for operating a mobile robot based on cleaning area information and a method thereof. A mobile robot based on cleaning area information according to an exemplary embodiment of the present invention includes a memory which stores a plurality of cleaning area information in which at least a part of a cleaning available area is changed; and a controller which controls to select one cleaning area information among the plurality of stored cleaning area information, recognize a position on a cleaning area map which configures the selected cleaning area information and perform cleaning on the cleaning available area from the recognized position.

System for operating mobile robot based on complex map information and operating method thereof

Growing community of inventors

Gunpo-si, South Korea

Seong Ju Park