A mobile robot of the present disclosure includes: a traveling unit configured to move a main body; a lidar sensor configured to acquire terrain information outside the main body; a camera sensor configured to acquire an image outside the main body; and a controller configured to fuse the image and a detection signal of the lidar sensor to select a front edge for the next movement and set a target location of the next movement at the front edge to perform mapping travelling. Therefore, in a situation where there is no map, the mobile robot can provide an accurate map with a minimum speed change when travelling while drawing the map.

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.

A electronic device comprising a sensor unit, a memory, and at least one processor that: obtains, by the sensor unit, first sensing data including an image captured at the location; obtains map information on the basis of the first sensing data; combines the first sensing data and the second sensing data to obtain first mapping information and stores same in the memory; obtains second mapping information by removing data corresponding to a pre-configured condition corresponding from the stored first mapping information; identifies spatial information including feature data corresponding to a space included in the map information on the basis of the second mapping information; and controls traveling of the electronic device on the basis of the map information and the spatial information.

A route determination system includes: an initial route line setting section that sets an initial route line including a plurality of split points between a starting point and a destination and connecting the first and second waypoints; and a movement route determination section that generates a candidate route line starting from the first waypoint and reaching the second waypoint by setting a predetermined number of control points at arbitrary positions within a specific range on the map, and that when all split points of the candidate route line are positioned within the passable area, determines, as a movement route for a mobile object, a route in a real space corresponding to the candidate route line, and when at least one of the split points of the candidate route line is positioned within an impassable area, increases the number of control points and performs the curving processing again.

An extraction unit of a mobile terminal extracts a plurality of feature points from within a shooting range of a camera, based on shooting results of the camera provided on AR glasses. A determination unit determines a boundary between a first region corresponding to an inside of a vehicle cabin and a second region corresponding to an outside of the vehicle cabin within the shooting range of the camera based on discontinuity of movement vectors of the feature points when a vehicle moves. A specifying unit specifies a position of the AR glasses based on a determination result by the determination unit.

A control device includes a direction identifying data generator that generates direction identifying data including point group data corresponding to the same height in a range lower than the ridge in a region including a ridge, a direction identification part that identifies a direction of the ridge on the basis of the direction identifying data, and a travel control part that controls the agricultural vehicle on the basis of the direction of the ridge identified by the direction identification part.

Provided is a robot control method that controls a robot to guide an evacuation route in response to occurrence of an emergency situation. The robot may acquire evacuation route information on a space from a server when an emergency situation occurs in the space, and may move to a first node closest to the robot among nodes defined in the space and a second node indicated by direction information of the first node based on the evacuation route information and a current location of the robot.

An information processing device includes an acquisition unit that acquires first map information concerning a first map corresponding to a moving environment of a mobile body, the first map being generated in advance, and sensor information of the mobile body at positions in the moving environment and a generation unit that generates second map information concerning a second map indicating a score change rate indicating a matching degree between the first map information and the sensor information, the change rate being the score change rate at the positions in the moving environment.

A robot cleaner includes: a main body; a driving wheel disposed on the bottom of the main body and configured to move the main body; a mopping device disposed on the bottom of the main body; and a rotation device including: a bridge connected to the mopping device, and a first motor configured to rotate the bridge for the mopping device such that the mopping device is moved to one from among a first position and a second position, wherein the mopping device is disposed on the bottom of the main body based on the mopping device being in the first position, and the mopping device protrudes outward from the main body based on the mopping device being in the second position.

A robot includes: a base having a plurality of wheels; a body having a bottom portion coupled above the base, and a top portion above the bottom portion, the top portion configured to support food and/or drink; a first camera at the bottom portion, wherein the first camera is oriented to view upward; and a second camera at the top portion, wherein the second camera is configured to view upward.