A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

A method for CNC manufacturing is provided. The method includes computer-reading a digital model of a 3D part within a first topological space. An offset surface for the digital model in the first topological space is computer-generated. The offset surface in the first topological space is computer-transformed to a transformed offset surface in a second topological space embedded in the first topological space. A plurality of contours are computer-identified, at which a corresponding plurality of embedded parallel planes intersect the transformed offset surface in the second topological space. The plurality of contours in the second topological space are computer-transformed into a corresponding plurality of transformed contours in the first topological space. A CNC toolpath is computer-generated that traces each of the plurality of transformed contours in the first topological space, the CNC toolpath useable by a CNC machine to manufacture the 3D part.

A method for CNC manufacturing is provided. The method includes computer-reading a digital model of a 3D part within a first topological space. An offset surface for the digital model in the first topological space is computer-generated. The offset surface in the first topological space is computer-transformed to a transformed offset surface in a second topological space embedded in the first topological space. A plurality of contours are computer-identified, at which a corresponding plurality of embedded parallel planes intersect the transformed offset surface in the second topological space. The plurality of contours in the second topological space are computer-transformed into a corresponding plurality of transformed contours in the first topological space. A CNC toolpath is computer-generated that traces each of the plurality of transformed contours in the first topological space, the CNC toolpath useable by a CNC machine to manufacture the 3D part.

An industrial safety zone configuration system leverages a digital twin of an industrial automation system to assist in configuring safety sensors for accurate monitoring of a desired detection zone. The system renders a graphical representation of the automation system based on the digital twin and allows a user to define a desired detection zone to be monitored as a three-dimensional volume within the virtual industrial environment. Users can define the locations and orientations of respective safety sensors as sensor objects that can be added to the graphical representation. Each sensor object has a set of object attributes representing configuration settings available on the corresponding physical sensor. The system can identify sensor configuration settings that will yield an estimated detection zone that closely conforms to the defined detection zone, and generate sensor configuration data based on these settings that can be used to configure the physical safety sensors.

Provided is a numerical control device for improving cycle time and machined surface quality. The numerical control device (1) comprises: a machining program reading unit (10) that generates, on the basis of a read machining program, a tool center point sequence indicating a path of a center point of a tool of a machining tool; an interpolation control unit (11) that interpolates the tool center point sequence generated by the machining program reading unit (10); a kinematic conversion unit (12) that performs coordinate-conversion on the tool center point sequence interpolated by the interpolation control unit (11) to obtain a control point sequence indicating a path of a control point by which the position of the tool is determined; a smoothing application unit (13) that performs smoothing by performing smoothing processing on the control point sequence, obtained by the kinematic conversion unit (12), with predetermined parameters; and a drive control unit (14) that controls driving of a machining tool A on the basis of the control point sequence smoothed by the smoothing application unit (13).

Provided is a numerical control device for improving cycle time and machined surface quality. The numerical control device (1) comprises: a machining program reading unit (10) that generates, on the basis of a read machining program, a tool center point sequence indicating a path of a center point of a tool of a machining tool; an interpolation control unit (11) that interpolates the tool center point sequence generated by the machining program reading unit (10); a kinematic conversion unit (12) that performs coordinate-conversion on the tool center point sequence interpolated by the interpolation control unit (11) to obtain a control point sequence indicating a path of a control point by which the position of the tool is determined; a smoothing application unit (13) that performs smoothing by performing smoothing processing on the control point sequence, obtained by the kinematic conversion unit (12), with predetermined parameters; and a drive control unit (14) that controls driving of a machining tool A on the basis of the control point sequence smoothed by the smoothing application unit (13).

The invention relates to a method for controlling a concentration of dissolved oxygen in a volume (V) of water (W), wherein a device (1) for dissolving oxygen in water (W) is submerged in said volume (V) of water, wherein oxygen is injected by the device (1) with an adjustable flow rate into a main water stream (W′) sucked into a housing (100) of the device (1), and wherein the oxygen enriched main water stream (W′) is discharged by the device (1) out of the housing (100) of the device (1) into said volume (V) of water (W), and wherein a current concentration of oxygen dissolved in the sucked main water stream (W′) is measured with an oxygen probe (6) that is integrated into the housing (100) of the device (1), wherein said current concentration of dissolved oxygen is transmitted in a wireless fashion to a hand-held device (9) of an operator, and wherein the flow rate of the injected oxygen is controlled such that the measured current concentration of dissolved oxygen approaches a pre-defined reference value.

Embedded and/or pooled robotic process automation (RPA) robots are disclosed. A master robot initiates one or more RPA robots in a deterministic and/or probabilistic manner. For instance, when a step in an RPA workflow of the master robot is encountered where an action is not clear, some data is missing, there are multiple possible branches, etc., one or more embedded and/or pooled minion robots may be called upon by the master robot to determine the next action to take, to retrieve missing data, to determine which branch is appropriate, etc. The master robot may perform orchestration functionality with respect to the minion robot(s).

A method is disclosed for estimating a trajectory of an object on a map given a sequence of traces for the moving object. Each trace of the object including information defining a position measured at a given time for the object, as well as information as to an area of accuracy around the measured position. The method processes pairs of successive traces, corresponding to two positions successive in time in the sequence of measured positions for the moving object. For each trace of a pair of successive traces, the method defines road segments on the map within the area of accuracy of the trace. For each road segment within the area of accuracy of a first trace of a pair of traces and each road segment within the area of accuracy of the second trace of the pair, the method determines at least one candidate path between the two road segments. A neural network and a neural graph model are used to compute the most probable sequence of candidate paths to estimate the trajectory of the object on the map.

A method is disclosed for estimating a trajectory of an object on a map given a sequence of traces for the moving object. Each trace of the object including information defining a position measured at a given time for the object, as well as information as to an area of accuracy around the measured position. The method processes pairs of successive traces, corresponding to two positions successive in time in the sequence of measured positions for the moving object. For each trace of a pair of successive traces, the method defines road segments on the map within the area of accuracy of the trace. For each road segment within the area of accuracy of a first trace of a pair of traces and each road segment within the area of accuracy of the second trace of the pair, the method determines at least one candidate path between the two road segments. A neural network and a neural graph model are used to compute the most probable sequence of candidate paths to estimate the trajectory of the object on the map.