Patent classifications
G05B2219/36056
Runtime Controller for Robotic Manufacturing System
Example systems and methods allow for runtime control of robotic devices during a construction process. One example method includes determining at least one sequence of robot operations corresponding to at least one robot actor, causing the at least one robot actor to execute a portion of the at least one sequence of robot operations during a first time period, receiving an interrupt signal from a mobile computing device indicating a modification to the at least one sequence of robot operations, where the mobile computing device is configured to display a digital interface including one or more robot parameters describing the at least one robot actor and one or more tool parameters describing operating characteristics of at least one physical tool, and causing the at least one robot actor to execute a portion of the at least one modified sequence of robot operations during a second time period.
Runtime controller for robotic manufacturing system
Example systems and methods allow for runtime control of robotic devices during a construction process. One example method includes determining at least one sequence of robot operations corresponding to at least one robot actor, causing the at least one robot actor to execute a portion of the at least one sequence of robot operations during a first time period, receiving an interrupt signal from a mobile computing device indicating a modification to the at least one sequence of robot operations, where the mobile computing device is configured to display a digital interface including one or more robot parameters describing the at least one robot actor and one or more tool parameters describing operating characteristics of at least one physical tool, and causing the at least one robot actor to execute a portion of the at least one modified sequence of robot operations during a second time period.
Numerical control device
A numerical control device (1) of a machine tool capable of controlling its spindle rotating speed includes: a program analyzing unit (2) that reads ahead a machining program (6) by one block or more and analyzes a command for the machine tool; and a command determining unit (3) that determines, based on a result analyzed by the program analyzing unit (2), whether a command posterior to a spindle control command causes any machining problem when the command is executed during a spindle rotating speed change, outputs a first command, in which some problem occurs in the machining, after the spindle rotating speed reaches the commanded rotating speed, and output a second command, which is other than the first command, before the spindle rotating speed reaches the commanded rotating speed.
AUTONOMOUS MODIFICATION OF WATERJET CUTTING SYSTEMS
Systems and methods for providing real-time modification of cutting process programs using feedback from one or more sensors which measure one or more operational parameters of a cutting process and/or cutting apparatus. The sensor readings may be used to provide real-time modification of a motion program after such motion program has been provided to a motion controller. Examples of such operational parameters may include waterjet pump supply pressure, the abrasive mass flow rate, the force of the waterjet on the target piece, etc. The systems and methods discussed herein also utilize a cutting algorithm or program to calculate actual cut quality based on one or more sensor inputs, and to generate warnings or system shut-downs accordingly. The systems and methods discussed herein also utilize inspection devices to inspect coupons or first articles, and use the inspection data to autonomously modify motion programs and/or cutting process models without user intervention.
Autonomous modification of waterjet cutting systems
Systems and methods for providing real-time modification of cutting process programs using feedback from one or more sensors which measure one or more operational parameters of a cutting process and/or cutting apparatus. The sensor readings may be used to provide real-time modification of a motion program after such motion program has been provided to a motion controller. Examples of such operational parameters may include waterjet pump supply pressure, the abrasive mass flow rate, the force of the waterjet on the target piece, etc. The systems and methods discussed herein also utilize a cutting algorithm or program to calculate actual cut quality based on one or more sensor inputs, and to generate warnings or system shut-downs accordingly. The systems and methods discussed herein also utilize inspection devices to inspect coupons or first articles, and use the inspection data to autonomously modify motion programs and/or cutting process models without user intervention.
AUTONOMOUS MODIFICATION OF WATERJET CUTTING SYSTEMS
Systems and methods for providing real-time modification of cutting process programs using feedback from one or more sensors which measure one or more operational parameters of a cutting process and/or cutting apparatus. The sensor readings may be used to provide real-time modification of a motion program after such motion program has been provided to a motion controller. Examples of such operational parameters may include waterjet pump supply pressure, the abrasive mass flow rate, the force of the waterjet on the target piece, etc. The systems and methods discussed herein also utilize a cutting algorithm or program to calculate actual cut quality based on one or more sensor inputs, and to generate warnings or system shut-downs accordingly. The systems and methods discussed herein also utilize inspection devices to inspect coupons or first articles, and use the inspection data to autonomously modify motion programs and/or cutting process models without user intervention.
Control for laser cutting head movement in a cutting process
In one aspect the invention relates to a method for calculating control instructions (CI) for controlling a cutting head (H) of a laser machine (L) for cutting a set of contours in a workpiece. The method comprises reading (S71) an encoded cutting plan (P), and continuously determining a state (S73) relating to the processing of the workpiece by the laser machine (L) by means of a set of sensor signals (sens). Further, the method provides a computer-implemented decision agent (DA), which dynamically calculates an action (a) for the machining head (H) to be taken next and based thereon providing control instructions (CI) for executing the processing plan (P) by accessing a trained model with the encoded cutting plan (P) and with the determined state (s).
Runtime controller for robotic manufacturing system
Example systems and methods allow for runtime control of robotic devices during a construction process. One example method includes determining at least one sequence of robot operations corresponding to at least one robot actor, causing the at least one robot actor to execute a portion of the at least one sequence of robot operations during a first time period, receiving an interrupt signal from a mobile computing device indicating a modification to the at least one sequence of robot operations, where the mobile computing device is configured to display a digital interface including one or more robot parameters describing the at least one robot actor and one or more tool parameters describing operating characteristics of at least one physical tool, and causing the at least one robot actor to execute a portion of the at least one modified sequence of robot operations during a second time period.
CONTROL FOR LASER CUTTING HEAD MOVEMENT IN A CUTTING PROCESS
In one aspect the invention relates to a method for calculating control instructions (CI) for controlling a cutting head (H) of a laser machine (L) for cutting a set of contours in a workpiece. The method comprises reading (S71) an encoded cutting plan (P), and continuously determining a state (S73) relating to the processing of the workpiece by the laser machine (L) by means of a set of sensor signals (sens). Further, the method provides a computer-implemented decision agent (DA), which dynamically calculates an action (a) for the machining head (H) to be taken next and based thereon providing control instructions (CI) for executing the processing plan (P) by accessing a trained model with the encoded cutting plan (P) and with the determined state (s).
Process monitoring and adaptive control of a machine tool
A control system includes a programmable logic control section controlling operation of a machine and a numerical control section controlling relative motion between a tool of the machine and a work piece. A method, performed in the control system, includes: evaluating an input signal, received by the programmable logic control section, in relation to a first condition, wherein the input signal includes information about a state of the tool or of a subtractive process performed via interaction of the tool and the work piece; and in response to the input signal satisfying the first condition, providing the information to the numerical control section. The state may for example be tool breakage, tool wear or wrong cutting data. An operator of the machine may for example specify via programs in the numerical control section how the machine is to respond to such states.