METHOD FOR THE AUTOMATED PROGRAMMING AND OPTIMIZATION OF ROBOTIC WORK SEQUENCES

• US 20120215352A1
• Filed: 02/17/2012
• Published: 08/23/2012
• Est. Priority Date: 02/17/2011
• Status: Active Grant

• Current Assignee: Convergent Information Technologies GmbH
• Original Assignee: Convergent Information Technologies GmbH
• Inventors: EBERST, CHRISTOF
• Granted Patent: US 8,892,255 B2
• Time in Patent Office: Days
• US Class Current: 700/253
• CPC Class Codes: B25J 9/1664 characterised by motion, path, trajectory planning
• CPC Class Codes: B25J 9/1671 characterised by simulation, either to verify existing program or to create and verify new program, CAD/CAM oriented, graphic oriented programming systems
• CPC Class Codes: G05B 19/4083 Adapting programme, configuration
• CPC Class Codes: G05B 2219/36063 During machining, compare simulated with detected profile, correct, modify program
• CPC Class Codes: G05B 2219/36103 Adapt, update machining parameters automatically as function of state of processing
• CPC Class Codes: G05B 2219/40387 Modify without repeating teaching operation
• CPC Class Codes: G05B 2219/40394 Combine offline with online information to generate robot actions
• CPC Class Codes: G05B 2219/40512 Real time path planning, trajectory generation

Abstract

A method for the automated control of a process robot with a controller performing movement and work sequences and with one or more sensors that record a work progress. A planning tool compares a recorded progress of work with an aimed-for processing objective and determines, from a difference between the processing objective and an actual value of the process that corresponds to the recorded progress of work, movement and work sequences with which the aimed-for processing objective is achieved. Then the determined movement and work sequences are converted into robot-executable control commands in real time or in-step with the process, and the process robot is controlled in such a way as to achieve the aimed-for processing objective.

Claims

1. A method for the automated control of a process robot with a controller performing movement and work sequences and with at least one sensor recording a work progress, the method which comprises:

comparing, in a planning tool, a recorded work progress with an aimed-for processing objective and determining, from a difference between the processing objective and an actual value of the process that corresponds to the recorded work progress movement and work sequences with which the aimed-for processing objective is achieved;

subsequently converting the determined movement and work sequences into robot-executable control commands in real time or in-step with the process; and

controlling the process robot in such a way as to achieve the aimed-for processing objective.

2. The method according to claim 1, which comprises pre-calculating with a process simulator achievement of the planned processing objective and compensating for deviations in the achievement of the objective of previous movement and work sequences in the planned movement and work sequences to be executed by adaptation of the process parameters or movements, and executing planned movement and work sequences to be executed with the controller only after successful simulation thereof in the process simulator.

3. The method according to claim 1, wherein the controller optimizes movement and work sequences, and wherein the simulated processing result of the movement/sequence is compared with a processing objective as the quality criterion.

4. The method according to claim 1, which comprises generating with the planning tool sequence/movement programs and also pre-calculating the effect thereof as a whole or for grouped-together or individual movements and actions or sub-portions thereof.

5. The method according to claim 4, which comprises generating with the planning tool a description of the application, the description including sequence/movement programs and a simulated effect and assigning for complete sequence/movement programs and/or parts thereof a simulated effect thereof.

6. The method according to claim 5, wherein the simulated effect and the complete or partial sequence/movement programs is assigned reciprocally.

7. The method according to claim 5, which comprises executing the description of the application on a controller and measuring or deriving the part describing the effect directly or indirectly by way of one or more sensors.

8. The method according to claim 5, which comprises assigning the description of the effect or of the result to individual regions of the workpiece to be processed.

9. The method according to claim 1, wherein the planning tool is assigned a process simulator, and which comprises calculating with the process simulator on the basis of a respective measured actual value of the processing progress the effect of planned subsequent movement and work sequences and comparing the calculated effect with a recorded, actual value.

10. The method according to claim 9, which comprises performing the comparing step by comparing the calculated effect with the actual value after the movement and work sequence has taken place.

11. The method according to claim 9, which comprises, in order to improve a computing model of the process simulator, readjusting process simulator parameters in such a way as to make the calculated effect match the actual effect.

12. The method according to claim 11, which comprises logging the values of the individual relevant process simulator parameters over time and calculating prognoses of a tool or process-medium service life, abrasion and effectiveness or of required maintenance work or parameter adaptations to compensate for the abrasion or changed effectiveness based on the logged data.

13. The method according to claim 1, wherein the planning tool is assigned a process simulator, and which comprises calculating with the process simulator the expected effect of movement and work sequences already executed, and optionally logged by the controller, and comparing the movement and work sequences with the measured actual value of these executed movement and work sequences.

14. The method according to claim 13, which comprises, in order to improve a computing model of the process simulator, readjusting process simulator parameters in such a way as to make the calculated effect match the actual effect.

15. The method according to claim 14, which comprises logging the values of the individual relevant process simulator parameters over time and calculating prognoses of a tool or process-medium service life, abrasion and effectiveness or of required maintenance work or parameter adaptations to compensate for the abrasion or changed effectiveness based on the logged data.

16. The method according to claim 1, which comprises measuring and optionally evaluating, with at least one sensor assigned to the robot or a robot tool, actual values of the processing operation.

17. The method according to claim 16, which comprises measuring with the at least one sensor actual values of the processing operation for measuring the actual effect achieved with a processing operation as a result of the movement and work sequences.

18. The method according to claim 1, which comprises, for applications with an unknown or very uncertain interaction between the tool and the workpiece:

initially, prior to adjusting process simulation parameters, planning defensively with the planning tool by,

firstly, during first carried-out actions of an application, newly establishing or adjusting the process simulator parameters or the simulation model; and

secondly, during the adjustment phase, simulating the first actions of an application and planning with process simulator parameters that correspond to a maximum possible effect.

19. The method according to claim 18, which comprises planning, with the planning tool, an action to be repeatedly carried out in order to achieve the processing objective.

20. The method according to claim 1, which comprises calculating with the process simulator the process forces occurring during the movement and work sequences and continually coordinating the pre-calculated process forces with process forces recorded by respective sensors.