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.

An environment arrangement robot includes a map creation unit that divides the target space into a plurality of cell spaces and provides an evaluation value to each of the cell spaces, in which the evaluation value indicates a probability of whether or not there is an object in the corresponding cell space, and an environment change unit that changes, among the plurality of cell spaces, a specific cell space having the evaluation value within a range evaluated that the probability of whether or not there is an object in the specific cell is low in such a way that the probability that the object is present will become greater or change a surrounding cell space in such a way that the specific cell space will be excluded from the measurement by the distance sensor.

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.

Techniques and systems are disclosed for using swept volume profile data cached in association with a PRM to improve various aspects of motion planning for a robot. In some implementations, a first probabilistic road map representing possible paths to be travelled by a robot within a physical area is generated. An initial path for the robot within the first probabilistic road map is determined. Data indicating a second probabilistic road map representing a path to be travelled by a movable object within the physical area is obtained. A potential obstruction associated with one or more edges included in the subset of edges is detected. An adjusted path for the robot within the first probabilistic road map is then determined based on the potential obstruction.

Techniques and systems are disclosed for using swept volume profile data cached in association with a PRM to improve various aspects of motion planning for a robot. In some implementations, a first probabilistic road map representing possible paths to be travelled by a robot within a physical area is generated. An initial path for the robot within the first probabilistic road map is determined. Data indicating a second probabilistic road map representing a path to be travelled by a movable object within the physical area is obtained. A potential obstruction associated with one or more edges included in the subset of edges is detected. An adjusted path for the robot within the first probabilistic road map is then determined based on the potential obstruction.

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.

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.

An environment arrangement robot includes a map creation unit that divides the target space into a plurality of cell spaces and provides an evaluation value to each of the cell spaces, in which the evaluation value indicates a probability of whether or not there is an object in the corresponding cell space, and an environment change unit that changes, among the plurality of cell spaces, a specific cell space having the evaluation value within a range evaluated that the probability of whether or not there is an object in the specific cell is low in such a way that the probability that the object is present will become greater or change a surrounding cell space in such a way that the specific cell space will be excluded from the measurement by the distance sensor.

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.

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.