A robot device includes: a sensor; a memory storing map information corresponding to a predetermined space and including a plurality of zones; and a processor that identifies a position of user, identifies whether the user is positioned in a first zone among the plurality of zones, based on the identified position of the user and the map information, and based on identifying that the user is positioned in the first zone, identifies a movement path of the robot device based on remaining zones except for the first zone among the plurality of zones.

Provided are an obstacle avoidance method for a self-propelled device, a medium, and a self-propelled device. The method includes acquiring a suspension height of an obstacle on a current travel route during traveling; determining whether the suspension height of the obstacle is within a preset limited height range, wherein the preset limited height range enables a part of the self-propelled device to pass the suspension height and an other part of the self-propelled device is limited by the suspension height; and acquiring, in response to determining that the suspension height of the obstacle is within the preset limited height range, current traveling state information of the self-propelled device, and determining whether to adjust the current travel route based on the current traveling state information to avoid the obstacle.

An information processing device of the present disclosure includes a ranger that detects a distance to an end part of a stage and detects a predetermined pattern provided on the stage, with infrared light, and an estimator that estimates a self-location on the basis of a detection result of the ranger.

A control method for light sources of a vision machine and the vision machine. The control method includes the following steps: activating at least one first light source among n light sources to sense spatial information of an object in a field of view; and selectively activating the n light sources according to the spatial information of a sensed object; wherein the n light sources are distributed on a periphery of a front mirror surface of a lens of the vision machine, and n is a natural number greater than or equal to 2. The embodiment of the present disclosure enlarges the field of view of the vision machine, capable of providing corresponding light illumination based on environmental requirements, reducing the interference signal caused by reflection of a single light source, expanding the sensing range of the vision machine, and improving the sensing ability.

Provided are an apparatus and method for rail detection and control of a motion of a mobile robot for safely switching driving of the mobile robot between a flat area and a rail area in an environment in a greenhouse in which a rail is provided for pipe heating. For more accurate rail detection, accurate three-dimensional (3D) point cloud data is obtained using a tilting laser scanner and is analyzed to detect a position of the rail and control a motion of a mobile robot for rail docking. The apparatus includes a sensor configured to be mounted in a mobile robot, and a rail detection unit configured to obtain 3D point cloud data using the sensor and detect the 3D point cloud data.

A moving object manufactured in a factory comprises: a driving controller that implements driving control over the moving object by unmanned driving during a course of manufacture of the moving object in the factory; a process completion detector that detects completion of a process by at least one step included in the course of manufacture; and a control content change unit that changes a content in control over the moving object when the completion of the process is detected.

The present disclosure relates to an autonomous mobile device and its control method and apparatus and a storage medium, the control method includes: an obtaining step configured to obtain point cloud data of the autonomous mobile device in a current work environment; a determination step configured to determine whether there exists an obstacle in the work environment based on the point cloud data; a processing step configured to, when it is determined that there exists an obstacle, recognize a type of the obstacle based on the point cloud data, and execute an obstacle avoidance action corresponding to the type of the obstacle. As such, the robustness of the obstacle avoidance action can be increased.

An aerial vehicle includes a center body, two arm assemblies arranged at the center body, a power device, and a driver mechanism mechanically coupled to the arm assemblies. The power device includes two first and two second rotor power assemblies. Each pair of first and second rotor power assemblies are installed at two ends of an arm assembly. The driver mechanism drives the arm assemblies to move relative to the center body such that distal parts of the two arm assemblies move between first and second height positions. In a direction of a roll axis of the power device, the first rotor power assemblies are closer to an installation site on the center body than the second rotor power assemblies. When the distal parts are at the second height position, spacing between the first rotor power assemblies is larger than spacing between the second rotor power assemblies.

A map generation system generates map data for an agricultural machine to automatically travel on a road around a field, and includes a storage to store feature block images associated with different types of road features, and a processor configured or programmed to acquire position distribution data on one or more types of road features, the position distribution data being generated based on at least one of sensor data from a LiDAR sensor and image data from an imager output while a movable body including at least one of the LiDAR sensor and the imager is moving along the road; read from the storage one or more types of feature block images associated with the one or more types of features; and align the feature block images in accordance with the position distribution data to generate map data on a region including the road.

A repellence system and method for repelling animals includes an imaging device arranged to generate image data from a railway track, one or more deterrence devices arranged to carry out deterrence actions for repelling animals and a repellence sub-system having one or more processors and memory storing instructions for execution by the one or more processors. The repellence sub-system being configured to receive image data of the railway track from the imaging device, detect an animal in the image data, identify animal species of the detected animal in the image data, provide species specific deterrence instructions to the one or more deterrence devices based on the identified animal species.