An industrial device matching method and apparatus are used for acquiring a corresponding relationship between industrial devices in different industrial data sources to provide basis for industrial data analysis. The method, in an embodiment, includes collecting data of at least two industrial data sources; determining a first relationship between various industrial devices in each industrial data source, and determining a first relationship topology between the industrial devices in the industrial data source; and comparing the first relationship topologies corresponding to various industrial data sources, to determine a first corresponding relationship between industrial devices in industrial data sources, the first corresponding relationship enabling the first relationship topologies corresponding to at least two industrial data sources to be similar. A relationship between industrial devices in different industrial data sources is determined by comparing a relationship topology between devices according to the similarity of relationships between the devices in different industrial data sources.

In a method for operating an industrial facility which has at least one mobile system, a base map of the industrial facility is generated, which has information about at least one vehicle-accessible region and at least one closed region; a correction map of the industrial facility is generated, which has information about at least one vehicle-accessible region and at last one closed region; the base map is overlaid with the correction map; at least one metric feature of the base map is replaced by a metric feature of the correction map when a difference between a metric feature of the base map and a metric feature of the correction map is detected.

A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.

A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.

The present disclosure provides a pose determining method for a mobile robot as well as an apparatus and a mobile robot thereof. The method includes: obtaining a first position of a mobile robot in each local map after building an initial local map corresponding to a current environment and rotating; determining first environmental contour points of each of the local maps and corresponding first gradient directions, and obtaining a relative position of each of the first environmental contour points and the corresponding first position; building an angle histogram in each of the local maps; determining a second position of second environmental contour points of a global map and corresponding second gradient directions; and predicting a third position in the global map of the mobile robot, counting an appearance amount of the third positions, and determining a target pose of the mobile robot in the global map.

In some aspects, computer-implemented methods for selecting a robotic tool path for a manufacturing processing system to execute a material processing sequence in three-dimensional space can include: providing to a computer-readable product including robotic system data of a robotic tool handling system and workpiece data relating to a processing path of a tool along the workpiece; generating a plurality of possible robotic tool paths to be performed to move the tool along the processing path; identifying one or more obstacles, or an absence of obstacles, associated with the robotic tool paths; comparing robotic tool paths based on a predetermined robotic parameter to be controlled as the tool moves from the start point to the end point; and based on the identified obstacles, determining feasible tool paths, between the start point and the end point that avoid the obstacles, that can be obtained by adjusting the predetermined robotic parameter.

A movement planning apparatus includes: an acquiring unit configured to acquire an environmental map in which a no-entry area is indicated for each of turning angles that a moving robot may have; and a planning unit configured to search for a moving path that allows at least one search branch to be extended from a departure point to a destination point based on the environmental map without making a change in the turning angle become discontinuous and without passing the no-entry area, and determine the turning angle on the moving path to the destination point based on a predetermined condition.

The present disclosure provides a pose determining method for a mobile robot as well as an apparatus and a mobile robot thereof. The method includes: obtaining a first position of a mobile robot in each local map after building an initial local map corresponding to a current environment and rotating; determining first environmental contour points of each of the local maps and corresponding first gradient directions, and obtaining a relative position of each of the first environmental contour points and the corresponding first position; building an angle histogram in each of the local maps; determining a second position of second environmental contour points of a global map and corresponding second gradient directions; and predicting a third position in the global map of the mobile robot, counting an appearance amount of the third positions, and determining a target pose of the mobile robot in the global map.

An industrial device matching method and apparatus are used for acquiring a corresponding relationship between industrial devices in different industrial data sources to provide basis for industrial data analysis. The method, in an embodiment, includes collecting data of at least two industrial data sources; determining a first relationship between various industrial devices in each industrial data source, and determining a first relationship topology between the industrial devices in the industrial data source; and comparing the first relationship topologies corresponding to various industrial data sources, to determine a first corresponding relationship between industrial devices in industrial data sources, the first corresponding relationship enabling the first relationship topologies corresponding to at least two industrial data sources to be similar. A relationship between industrial devices in different industrial data sources is determined by comparing a relationship topology between devices according to the similarity of relationships between the devices in different industrial data sources.

Disclosed are a method for drawing a map to which a feature of an object is applied and a robot implementing the same. The robot drawing a map to which feature of an object is applied, which comprises a moving unit configured to control a movement of the robot; a map storage unit configured to store the map to be referred while the robot moves; a sensing unit configured to sense one or more objects provided outside the robot; and a controller configured to control the moving unit, the map storage unit, and the sensing unit, and calculate position information and feature information on the one or more sensed objects, wherein the controller of the robot stores the position information and the feature information of the one or more sensed objects in the map storage unit.