Human-robot interactive system having a human stiffness estimation control algorithm

• US 8,483,879 B2
• Filed: 11/30/2009
• Issued: 07/09/2013
• Est. Priority Date: 11/30/2009
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Gao, Dalong, Menassa, Roland J., Stevenson, Robin
• Primary Examiner(s): Trammell, James
• Assistant Examiner(s): ALSOMIRI, MAJDI A
• Application Number:
  US12/627,033
• Publication Number:
  US 20110130876A1
• Time in Patent Office: 1,317 Days
• Field of Search: 700245-248, 700250-264, 318/567, 318/568.1, 31856811-56823, 340/576, 901/3
• US Class Current: 700/258
• CPC Class Codes: B25J 9/1633 compliant, force, torque control, e.g. combined with position control
• CPC Class Codes: G05B 19/423 Teaching successive positions by walk-through, i.e. the tool head or end effector being grasped and guided directly, with or without servo-assistance, to follow a path
• CPC Class Codes: G05B 2219/36429 Power assisted positioning
• CPC Class Codes: G05B 2219/36435 Electromyographical, myoelectric control signal
• CPC Class Codes: G05B 2219/39338 Impedance control, also mechanical

Abstract

A robotic system includes a robot adapted for moving a payload in proportional response to an input force from an operator, sensors adapted for measuring a predetermined set of operator input values, including the input force, and a controller. The controller determines a changing stiffness value of the operator using set of operator input values, and automatically adjusts a level of control sensitivity over the robot using the stiffness value. The input values include the input force, a muscle activation level of the operator, and a position of the operator. A method of controlling the robot includes measuring the operator input values using the plurality of sensors, processing the input values using the controller to thereby calculate the stiffness value, and automatically adjusting the level of control sensitivity over the robot using the stiffness value. A specific operator may be identified, with control sensitivity being adjusted based on the identity.

Claims

1. A robotic system comprising:

a robot incorporating powered elements, the robot being adapted for moving a payload using the powered elements during an operation in proportional response to an input force from a human operator;

an operator-robot interface incorporating a pair of handle bars and a plurality of sensors which collectively measure a predetermined set of operator input values, wherein the plurality of sensors includes a pair of sensors each positioned on a respective one of the handlebars and configured to measure the input force; and

a controller that is responsive to the input force and configured to actuate the powered elements by measuring a baseline stiffness value of the human operator as a minimum, equilibrium, or relaxed stiffness value, and calculating a change in the baseline stiffness value of the human operator during the operation using the set of operator input values;

wherein the controller automatically adjusts a level of control sensitivity over the robot using the change in the baseline stiffness value of the human operator to thereby optimize control stability.

2. The robotic system of claim 1, wherein the plurality of sensors further includes a bio sensor that is wearable by the operator and configured to measure a muscle activation level of the operator, and wherein the predetermined set of operator input values includes the measured muscle activation level of the operator.

3. The robotic system of claim 2, wherein the plurality of sensors further includes a position sensor that measures a position of the operator, and wherein the predetermined set of operator input values further includes the measured position of the operator.

4. The robotic system of claim 2, wherein the sensor measuring the muscle activation level of the operator includes at least one of:

an electrode that directly measures the muscle activation level and a sensor configured to indirectly measure the muscle activation level by at least one of measuring a change in a size of at least one muscle of the operator and measuring a grasping force of the operator.

5. The robotic system of claim 3, wherein the sensor measuring the position of the operator includes one of a light source and a pressure mat.

6. The robotic system of claim 1, wherein the controller is configured to identify a specific operator from a plurality of different operators, and to select the level of control sensitivity based on the identity of the operator.

7. The robotic system of claim 1, wherein the controller automatically increases the level of control sensitivity when the stiffness value decreases or when the stiffness value is less than a calibrated threshold value, and automatically decreases the level of control sensitivity when the stiffness value increases or when the stiffness value exceeds the calibrated threshold value.

8. The robotic system of claim 1, wherein the robot is configured as an overhead lift assistance mechanism including at least a motor and a brake.

19. The robotic system of claim 1, wherein the pair of handle bars is directly connected to the payload.

9. A control system for providing motion control of a robot with optimized control stability, the robot having powered elements adapted for moving a payload in proportional response to an input force applied to a pair of handle bars by a human operator, the control system comprising:

an operator-robot interface having a plurality of sensors that measure a predetermined set of operator input values, including a pair of sensors each positioned on a respective one of the handle bars and configured to measure the input force; and

a host machine in communication with the operator-robot interface, and configured to measure a baseline stiffness value of the human operator as a minimum, equilibrium, or relaxed stiffness value, and calculate a change in the baseline stiffness value of the human operator using the set of operator input values;

wherein the host machine actuates the powered elements in response to the input force, and automatically adjusts a level of control sensitivity over the robot using the change in the baseline stiffness value to thereby provide the optimized control stability.

10. The control system of claim 9, wherein the plurality of sensors further includes an additional sensor configured to measure, as part of the predetermined set of operator input values, at least one of:

a position of the operator and a muscle activation level of the operator.

11. The control system of claim 10, wherein the additional sensor measures the position of the operator, and is one of a light source and a pressure mat.

12. The control system of claim 9, wherein the control system identifies a specific operator from a plurality of different operators, and selects the level of control sensitivity based on the identity of the operator.

13. The control system of claim 9, wherein the controller automatically increases the level of control sensitivity when the stiffness value is less than a calibrated threshold value, and decreases the level of control sensitivity when the stiffness value exceeds the calibrated threshold value.

20. The control system of claim 9, wherein the pair of handle bars is directly connected to the payload.

14. A method of controlling a robot incorporating powered elements that are collectively adapted for moving a payload in proportional response to an input force from a human operator, the method comprising:

measuring a predetermined set of operator input values using a plurality of sensors of an operator-robot interface having a pair of handle bars each having a force sensor connected thereto, including measuring the input force using the force sensors;

measuring a baseline stiffness value of the human operator as a minimum, equilibrium, or relaxed stiffness value;

processing the set of operator input values using a controller, including calculating a change in the baseline stiffness value of the human operator;

controlling the powered elements in response to the measured input force; and

automatically adjusting a level of control sensitivity over the robot as a function of the calculated change in the baseline stiffness value, thereby optimizing control stability.

15. The method of claim 14, wherein the plurality of sensors includes a strap that measures a muscle activation level of the operator, wherein measuring a predetermined set of operator input values measuring the muscle activation level via the strap.

16. The method of claim 14, wherein measuring a predetermined set of operator input values includes measuring the input force and the muscle activation level while introducing disturbances to the handle bars via the controller.

17. The method of claim 14, further comprising:

identifying a specific operator from a plurality of different operators, and then selecting the level of control sensitivity based on the identity of the operator.

18. The method of claim 14, further comprising:

comparing the stiffness value to a calibrated threshold value;

automatically increasing the level of control sensitivity when the stiffness value is less than the calibrated threshold value; and

decreasing the level of control sensitivity when the stiffness value exceeds the calibrated threshold value.