Abstract: A robot includes: a communication interface; a sensor configured to obtain distance data; a driver configured to control a movement of the robot; a memory storing with map data corresponding to a space in which the robot travels; and a processor configured to: control the sensor to output a sensing signal for sensing a distance with an external robot, obtain position information of the external robot based on a time at which at least one echo signal is received from the external robot, control at least one of the driver or an operation state of the external robot based on the position information, transmit a control signal for controlling the operation state of the external robot through the communication interface, identify, based on an error occurring in communication with the external robot through the communication interface, a pose of the external robot based on a type of the at least one echo signal received from the external robot, identify a target position of the robot based on the pose of the extern

Abstract: A robot may include a LiDAR sensor, and a processor configured to acquire, based on a sensing value of the LiDAR sensor, a first map that covers a space where the robot is located, detect one or more obstacles existing in the space based on the sensing value of the LiDAR sensor, acquire a number of times that each of a plurality of areas in the first map is occupied by the one or more obstacles, based on location information of the one or more obstacles, determine an obstacle area based on the number of times that each of the plurality of areas is occupied by the one or more obstacles, and acquire a second map indicating the obstacle area on the first map to determine a driving route of the robot based on the second map.

Abstract: A robot includes: at least one memory storing first map data corresponding to a first region of a specific space; a distance sensor configured to acquire distance data while the robot travels in the specific space; and at least one processor operatively connected to the at least one memory and the distance sensor. The at least one processor is configured to: based on second map data acquired based on the distance data, compare the first map data and the second map data and generate a comparison result, and based on identifying, based on the comparison result, that an error does not exist in the second map data and that the second map data comprises information on a second region, update the first map data with the second map data.

Abstract: Provided is a robot device and method of controlling same, wherein the robot device includes: at least one sensor; at least one memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction to: based on the robot device being positioned at a first position, control the robot device in a first mode corresponding to the first position, identify, based on sensing data obtained by the at least one sensor, a first event of picking up the robot device by a user and a second event of placing the robot device, and based on an identification that a position of the robot device is changed from the first position to a second position based on new sensing data obtained by the at least one sensor after the first event and the second event sequentially occur, control the robot device in a second mode corresponding to the second position.

Abstract: Disclosed are an electronic device and a method for controlling thereof. A method of controlling an electronic device includes identifying a first traveling path heading to a preset destination based on a map corresponding to an environment in which an electronic device operates; identifying an object interfering with traveling according to the first traveling path based on at least one sensor while traveling according to the first traveling path; identifying an avoidance path to avoid the object based on at least one of a location and speed of the identified object and traveling according to the avoidance path; and based on the identified object being distant by a preset distance or more based on traveling according to the avoidance path, controlling the electronic device to travel according to the first traveling path based on a current location of the electronic device.

Abstract: An electronic apparatus includes a memory storing map data corresponding to a travelling space, the map data comprising Z-axis information. The electronic apparatus further includes a camera and a processor configured to: obtain first height information of an object included in one point of the map data, based on a first image obtained by the camera at a first location while the electronic apparatus is travelling, obtain second height information of the object included in the one point of the map data, based on a second image obtained by the camera at a second location that is different than the first location, and update the Z-axis information corresponding to the one point based on the first height information and the second height information.

Abstract: A robot includes: a sensor configured to sense an environment of the robot; a driver configured to drive movement of the robot; at least one memory; and at least one processor configured to: based on identifying at least one wall through the sensor, control the driver to cause the robot to perform wall following in which the robot travels along the at least one wall, generate a map of an explored area by exploring an area in a vicinity of the robot through the sensor while the robot travels, store information on the generated map in the at least one memory, and based on the robot completing the wall following, control the driver to cause the robot to move to an exploration point in an unexplored area in the vicinity of the robot.

Abstract: Provided in the present disclosure are a robot and a control method therefor. The robot includes: a depth camera; a driver; and a processor for acquiring a depth image by performing photographing through the depth camera, generating a plurality of 3D points on a three-dimensional (3D) space corresponding to a plurality of pixels, based on depth information about the plurality of pixels of the depth image, identifying a plurality of 3D points having a preset height value, based on a driving bottom surface of the robot in the 3D space from among the plurality of 3D points, and controlling the driver to move the robot based on the identified plurality of 3D points.

Abstract: A robot is provided. The robot includes a driving part, a three dimensional (3D) depth sensor, a memory storing instructions, and a processor connected to the driving part, the 3D depth sensor, and the memory. The processor is configured to execute the instructions to acquire a depth image of a driving surface photographed by the 3D depth sensor while the robot is driving in a space, acquire, based on the acquired depth image, location information of a boundary area where tilt information of the driving surface is changed, acquire type information corresponding to an outside area of the boundary area based on the acquired location information of the boundary area and the changed tilt information, and control the driving part based on the acquired type information.

Abstract: A robot may include a LiDAR sensor, and a processor configured to acquire, based on a sensing value of the LiDAR sensor, a first map that covers a space where the robot is located, detect one or more obstacles existing in the space based on the sensing value of the LiDAR sensor, acquire a number of times that each of a plurality of areas in the first map is occupied by the one or more obstacles, based on location information of the one or more obstacles, determine an obstacle area based on the number of times that each of the plurality of areas is occupied by the one or more obstacles, and acquire a second map indicating the obstacle area on the first map to determine a driving route of the robot based on the second map.

Abstract: A robot includes: a sensor; a driver; a memory storing instructions; and a processor, wherein the processor is configured to execute the instructions to: acquire first scan data including location information of an object around the robot based on a sensing value acquired by the sensor at a first time point, input the first scan data to a neural network model learned to predict scan data to acquire second scan data predicted to be acquired by the robot at a second time point after the first time point, identify a possibility of collision with the object based on location information of the object included in the second scan data; acquire driving data based on the identified possibility of collision; and control the driver based on the acquired driving data.

Abstract: In the present disclosure, an electronic device and a control method thereof are provided. The electronic device for controlling driving of a vehicle of the present disclosure comprises: a sensor; a communication unit; and a processor that, when a user input for setting a destination of the vehicle is received, transmits, to an external electronic device through the communication unit, information about the destination and location information of the vehicle acquired by the sensor, receives, from the external electronic device through the communication unit, at least one road segment corresponding to a road existing in a path from the location of the vehicle to the destination thereof, from among a plurality of road segments in which map information is divided on the basis of branch points in the road, and controls driving of the vehicle on the basis of the received road segment.

Abstract: Provided is an autonomous vehicle including a storage configured to store a map including two-dimensionally represented road surface information and three-dimensionally represented structure information, a camera configured to obtain a two-dimensional (2D) image of a road surface in a vicinity of the vehicle, a light detection and ranging (LiDAR) unit configured to obtain three-dimensional (3D) spatial information regarding structures in a vicinity of the vehicle, and a controller comprising processing circuitry configured to determine at least one of the camera or the LiDAR unit as a position sensor, based on whether it is possible to obtain information regarding the road surface and/or the structures in the vicinity of the vehicle, to identify a position of the vehicle on the map corresponding to a current position of the vehicle using the position sensor, and performing autonomous driving based on the identified position on the map.

Abstract: Provided are a method, performed by an electronic device, of controlling a vehicle, and an electronic device for the same. A method, performed by an electronic device, of controlling a vehicle includes: transmitting, to an external server communicatively connected to the vehicle, as profile information of the vehicle, sensor information regarding at least one sensor mounted on the vehicle, communication efficiency information of the vehicle, and driving information of the vehicle; receiving, from the external server, precise map data related to at least one map layer selected based on the profile information of the vehicle from among a plurality of map layers that are combined to form a precise map and distinguished according to attributes thereof; and controlling the vehicle to perform autonomous driving by using the received at least one precise map data.

Abstract: Provided is a method including detecting at least one external vehicle located within a predetermined distance from a first vehicle using at least one sensor; determining a risk due to the at least one external vehicle based on a type of the at least one external vehicle; and planning a traveling path of the first vehicle based on the risk due to the at least one external vehicle.

Abstract: A vehicle is provided. The vehicle includes a light detection and ranging (LiDAR) sensor to acquire point cloud information for each channel on a surrounding ground of the vehicle by using a multichannel laser. The vehicle further includes a communicator to communicate with an external server, and a processor to control the communicator to receive map data from the external server and to determine a position of the vehicle in the map data based on the point cloud information for each channel, acquired through the LiDAR sensor.

Abstract: A vehicle is provided. The vehicle includes a light detection and ranging (LiDAR) sensor to acquire point cloud information for each channel on a surrounding ground of the vehicle by using a multichannel laser. The vehicle further includes a communicator to communicate with an external server, and a processor to control the communicator to receive map data from the external server and to determine a position of the vehicle in the map data based on the point cloud information for each channel, acquired through the LiDAR sensor.

Abstract: Provided is an autonomous vehicle including a storage configured to store a map including two-dimensionally represented road surface information and three-dimensionally represented structure information, a camera configured to obtain a two-dimensional (2D) image of a road surface in a vicinity of the vehicle, a light detection and ranging (LiDAR) unit configured to obtain three-dimensional (3D) spatial information regarding structures in a vicinity of the vehicle, and a controller comprising processing circuitry configured to determine at least one of the camera or the LiDAR unit as a position sensor, based on whether it is possible to obtain information regarding the road surface and/or the structures in the vicinity of the vehicle, to identify a position of the vehicle on the map corresponding to a current position of the vehicle using the position sensor, and performing autonomous driving based on the identified position on the map.

Abstract: Provided is a method including detecting at least one external vehicle located within a predetermined distance from a first vehicle using at least one sensor; determining a risk due to the at least one external vehicle based on a type of the at least one external vehicle; and planning a traveling path of the first vehicle based on the risk due to the at least one external vehicle.

Abstract: Provided is a method, performed by a first vehicle, of providing detailed map data, the method including collecting first traveling data about a first path using at least one first sensor while the first vehicle is traveling the first path; obtaining first detailed map data corresponding to the first path based on the first traveling data about the first path; and providing the first detailed map data to at least one external device.