Abstract: 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.

Abstract: Disclosed are 3D LiDAR based target object recognizing method, apparatus, and a mobile object using the same. A target object recognizing method according to an exemplary embodiment of the present invention includes an irradiating step of irradiating laser light to a reference target object; an acquiring step of acquiring LiDAR data generated based on a reflection signal reflected from the reference target object; a learning step of generating a reference map and virtual LiDAR data based on the LiDAR data and determining a weight for recognizing a target object by performing the deep learning based on the virtual LiDAR data; and recognizing a new target object by applying the weight when new LiDAR data with respect to the new target object is acquired.

Abstract: 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.

Abstract: 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.

Abstract: A map noise reduction apparatus and method of a robot according to the exemplary embodiment of the present disclosure reduce a noise such as an outer noise and an inner nose which may be caused due to a sensor characteristic and an environmental factor while generating a grid map and simplify a contour of the grid map to provide a neater and clear grid map.

Abstract: 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.

Abstract: Disclosed are a mobile robot operation control method based on floor environment sensing and an apparatus therefor. The mobile robot operation control method based on floor environment sensing according to an exemplary embodiment of the present disclosure includes a measured current value acquiring step of acquiring a current value measured from a motor which is equipped in a mobile robot to operate, a statistical feature value calculating step of calculating at least one statistical feature value based on the current value, a floor environment sensing step of sensing a final floor environment mode by comparing at least one statistical feature value and a predetermined determination reference value, and an operation control step of controlling an operation of the mobile robot based on a sensing result of the final floor environment mode.

Abstract: 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.

Abstract: The exemplary embodiments of the present disclosure provides a distance measurement sensor and a mobile robot which detect an abnormal state which is a foreign substance jamming or blocking state generated in a non-sensing area and a sensing area of the sensor by analyzing a degree of dispersion or a representative value of data varying during a detection time, to recognize an abnormal state of the sensor caused by the foreign substance in the outside or inside of the distance measurement sensor.

Abstract: 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.

Abstract: A memory device according to an embodiment of the present disclosure may include a string including a plurality of memory cells and a select transistor connected between a conductive line and the plurality of memory cells; a peripheral circuit configured to perform an erase operation of the string; and a control logic configured to control the peripheral circuit to increase a voltage level of an erase voltage applied to the conductive line for a first time period from time one to later time two at a first voltage-time slope, and increase the voltage level of the erase voltage for a second time period from time two to later time three at a second voltage-time slope, during the erase operation, wherein the second voltage-time slope is greater than the first voltage-time slope.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed are an apparatus of recognizing a position of a mobile robot using search based correlative matching 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 received stereo image, forms a virtual space using at least one key frame selected based on the extracted edge, and estimates the current position using the edge size which is calculated for the formed space.

Abstract: Disclosed are an apparatus of recognizing a position of a mobile robot using direct tracking 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 received stereo image to project a seed in a key frame selected based on the extracted edge onto the stereo images, updates a status parameter indicating rotation and movement of a camera using an intensity error in the calculated projected seed as the projection result, and estimates a position of the mobile robot using the update result.