METHOD FOR DYNAMIC OPTIMIZATION OF A ROBOT CONTROL INTERFACE

• US 20130096719A1
• Filed: 10/13/2011
• Published: 04/18/2013
• Est. Priority Date: 10/13/2011
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company), U.S.A. as represented by the Administrator of the National Aeronautics and Space Administration
• Inventors: Sanders, Adam M., Reiland, Matthew J., Linn, Douglas Martin, Quillin, Nathaniel
• Application Number:
  US13/272,442
• Publication Number:
  US 20130096719A1
• Time in Patent Office: Days
• US Class Current: 700/264
• CPC Class Codes: G05B 19/409 characterised by using manual data input [MDI] or by using control panel, e.g. controlling functions with the panel; characterised by control panel details or by setting parameters G05B19/408, G05B19/4093 take precedence
• CPC Class Codes: G05B 2219/36133 MMI, HMI: man machine interface, communication
• CPC Class Codes: G05B 2219/36137 Configuration of display device, operator panel
• CPC Class Codes: G05B 2219/36542 Cryptography, encrypt, access, authorize with key, code, password

Abstract

A control interface for inputting data into a controller and/or controlling a robotic system is displayed on a human-to-machine interface device. The specific configuration of the control interface displayed is based upon the task to be performed, the capabilities of the robotic system, the capabilities of the human-to-machine interface device, and the level of expertise of the user. The specific configuration of the control interface is designed to optimize the interaction between the user and the robotic system based upon the above described criteria.

Claims

1. A method of optimizing control of a machine, the method comprising:

connecting a human-to-machine interface device to the machine;

selecting a task to be performed;

identifying the capabilities of the machine and the capabilities of the human-to-machine interface device; and

displaying a pre-defined control interface based upon the selected task to be performed, the identified capabilities of the human-to-machine interface device, and the identified capabilities of the machine to optimize the control of the machine.

2. A method as set forth in claim 1 wherein selecting a task to be performed includes selecting a task from a group of tasks including developing a new operation for the machine to perform, tuning an existing operation, or controlling playback of an existing operation.

3. A method as set forth in claim 1 wherein identifying the capabilities of the machine include identifying a total number of degrees of freedom of the machine, a speed of movement of the machine, the sensors of the machine, or the available operating modes of the machine.

4. A method as set forth in claim 3 wherein identifying the capabilities of the human-to-machine interface device includes identifying visual display capabilities, input/output capabilities, audio capabilities, screen display size or screen resolution.

5. A method as set forth in claim 1 further comprising defining a plurality of control interfaces, with each of the plurality of control interfaces configured to optimize interaction between a user and the human-to-machine interface device for a specific task to be performed and for specific capabilities of the machine and the human-to-machine interface device.

6. A method as set forth in claim 1 further including authenticating an authorized user prior to displaying the pre-defined control interface.

7. A method as set forth in claim 6 further comprising establishing a user account for each user of the human-to-machine interface device.

8. A method as set forth in claim 7 further comprising defining a level of expertise for each user account.

9. A method as set forth in claim 8 wherein displaying a pre-defined control interface based upon the selected task to be performed, the identified capabilities of the human-to-machine interface device, and the identified capabilities of the machine further includes displaying the pre-defined control interface based upon the level of expertise of the authenticated user.

10. A method as set forth in claim 9 further comprising defining a plurality of control interfaces, with each of the plurality of control interfaces configured to optimize interaction between a user and the human-to-machine interface device for a specific task to be performed, for the specific capabilities of the machine and the human-to-machine interface device, and for the level of expertise of the authenticated user.

11. A method as set forth in claim 1 wherein the machine includes a dexterous robot having a plurality of robotic joints, actuators configured for moving the robotic joints, and sensors configured for measuring a capability of a corresponding one of the robotic joints.

12. A method of controlling a robotic machine, the method comprising:

defining a plurality of control interfaces, with each of the plurality of control interfaces configured to optimize interaction between a user and a human-to-machine interface device for a specific task to be performed, for a specific level of expertise of the user, and for specific capabilities of the machine and the human-to-machine interface device;

connecting the human-to-machine interface device to the machine;

authenticating an authorized user having a pre-set level of expertise for operating the robotic machine;

selecting a task to be performed;

identifying the capabilities of the machine and the capabilities of the human-to-machine interface device; and

displaying one of the plurality of pre-defined control interfaces based upon the selected task to be performed, the identified capabilities of the human-to-machine interface device, the identified capabilities of the machine, and the level of expertise of the user in operating the robotic machine.

13. A method as set forth in claim 12 wherein selecting a task to be performed includes selecting a task from a group of tasks including developing a new operation for the machine to perform, tuning an existing operation, or controlling playback of an existing operation.

14. A method as set forth in claim 13 wherein identifying the capabilities of the machine include identifying a total number of degrees of freedom of the machine, a speed of movement of the machine, the sensors of the machine, or the available operating modes of the machine.

15. A method as set forth in claim 14 wherein identifying the capabilities of the human-to-machine interface device includes identifying visual display capabilities, input/output capabilities, audio capabilities, screen display size or screen resolution.

16. A method as set forth in claim 15 wherein the robotic machine includes a dexterous robot having a plurality of robotic joints, actuators configured for moving the robotic joints, and sensors configured for measuring a capability of a corresponding one of the robotic joints.

17. A robotic system comprising:

a dexterous robot having a plurality of robotic joints, actuators configured for moving the robotic joints, and sensors configured for measuring a capability of a corresponding one of the robotic joints and for transmitting the capabilities as sensor signals;

a controller coupled to the dexterous robot and configured for controlling the operation of the dexterous robot; and

a human-to-machine interface device coupled to the controller and configured for interfacing with the controller to input data into the controller to control the operation of the dexterous robot;

wherein the controller includes;

tangible, non-transitory memory on which is recorded computer-executable instructions, including an optimized control interface module; and

a processor configured for executing the optimized control interface module, wherein the optimized control interface module is configured for;

identifying the capabilities of the dexterous robot;

identifying the capabilities of the human-to-machine interface device;

authenticating an authorized user of the dexterous robot, wherein each authorized user includes a pre-set level of expertise for operating the dexterous robot; and

displaying a pre-defined control interface on the human-to-machine interface device based upon a selected task to be performed, the identified capabilities of the human-to-machine interface device, the identified capabilities of the machine, and the level of expertise of the user for operating the robotic machine.