Abstract: A movable robot includes: a sensor; a motor configured to drive the movable robot; and at least one processor configured to: obtain a driving path of the movable robot, determine an amount of change in angular velocity corresponding to each of a plurality of candidate motions of the movable robot moving along the driving path based on sensing data obtained from the sensor, determine a final motion from the plurality of candidate motions based on the amount of change in angular velocity corresponding to each of the plurality of candidate motions, and control the motor to move the movable robot based on the final motion.

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: 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 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.