A method of operating a mobile robot includes generating a segmentation map defining respective regions of a surface based on occupancy data that is collected by a mobile robot responsive to navigation of the surface, identifying sub-regions of at least one of the respective regions as non-clutter and clutter areas, and computing a coverage pattern based on identification of the sub-regions. The coverage pattern indicates a sequence for navigation of the non-clutter and clutter areas, and is provided to the mobile robot. Responsive to the coverage pattern, the mobile robot sequentially navigates the non-clutter and clutter areas of the at least one of the respective regions of the surface in the sequence indicated by the coverage pattern. Related methods, computing devices, and computer program products are also discussed.

An apparatus for localizing a robot having robustness to a dynamic environment includes a map building unit which builds a map based on SLAM; a localizing unit which acquires first feature from sensor data acquired by a sensor mounted in a robot and localizes the robot using the first feature acquired from the sensor data based on the map built by the map building unit; and a map updating unit which reduces an error caused by the movement of the robot by correcting the first feature using an estimated position of the robot with regard to a feature obtained from a static object, among the first features acquired by the localizing unit.

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.

An apparatus and a method for editing 3D SLAM data according to an exemplary embodiment of the present disclosure directly edits a key frame or an edge of simultaneous localization and mapping (SLAM) data by the user's manipulation, optimizes a pose graph of the 3D SLAM data based on the key frame and the edge edited by the user's manipulation, and generates a 2D grid map corresponding to the 3D SLAM data based on the updated 3D SLAM data to improve the convenience of the user for editing the 3D SLAM data.

Provided is a robot device and a method of controlling same. The robot device includes: at least one memory storing at least one instruction; a sensor configured to detect an environment of the robot device and output detection data; and at least one processor configured to execute the at least one instruction to: acquire a map of a space where the robot device is positioned based on the detection data received from the sensor, and a reliability value of each of a plurality of areas of the map, store the map and the reliability value of each of the plurality of areas in the at least one memory, identify at least one area having a reliability value greater than or equal to a critical value, based on the reliability value of each of the plurality of areas, and identify a movement path of the robot device in the space, based on the at least one area.

A method of controlling an autonomous vehicle, which is movable on a surface, includes obtaining a model (world model) of the surface, by which each area of the surface is associated with a probabilistic occupancy score; determining, on the basis of the area's position, an occupancy threshold to be applied to an area of the surface; enabling movement of the AV into the area if the associated occupancy score is less than the determined occupancy threshold; and otherwise disabling movement into the area. In one embodiment, where the model is obtained or updated based on measurement data from one or more sensors carried by the autonomous vehicle, the occupancy threshold is determined to be relatively lower if the area is outside a field of view of the sensors carried by the AV and relatively higher if the area is inside the field of view.

This application discloses a self-moving device, a method for adjusting a movement trajectory. The device includes a body, an image acquisition module, and a control circuit. The image acquisition module acquires an image in a traveling direction of the body. The control circuit fits, according to the image, a boundary corresponding to a working region in which the self-moving device is located. In response to the body moves toward the boundary and the body and the boundary meet a preset distance relationship, an angle relationship between the traveling direction of the body and the boundary is recognized according to the image, and the body is controlled to steer.

In order to achieve the above objects, according to the present invention, an information processing system includes a wind-condition estimation unit that estimates wind-condition information in a predetermined space region, and an evaluation unit that evaluates flight difficulty or economic efficiency of an aircraft based on the estimated wind-condition information. According to the present invention, an information processing method includes estimating wind-condition information in a predetermined space region, and evaluating flight difficulty or economic efficiency of an aircraft based on the estimated wind-condition information.

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.

A method for remote control of a robot includes specifying a target robot for which a boarding event with respect to a movement means has occurred; controlling driving of the target robot in response to the movement means stopping at a specific area where the target robot is located so that the target robot boards the movement means; on the basis of an occupation state of a reception space provided in the movement means, determining a target occupation position of the target robot in the reception space; and transmitting a control command related to the target occupation position to the target robot so that the target robot moves to the target occupation position.