Apparatus and Method for Generating and Controlling the Motion of a Robot

• US 20080243307A1
• Filed: 03/19/2008
• Published: 10/02/2008
• Est. Priority Date: 03/26/2007
• Status: Abandoned Application

• Current Assignee: Honda Research Institute Europe GmbH (Honda Motor Company)
• Original Assignee: Honda Research Institute Europe GmbH (Honda Motor Company)
• Inventors: Gienger, Michael, Toussaint, Marc
• Application Number:
  US12/050,948
• Publication Number:
  US 20080243307A1
• Time in Patent Office: Days
• US Class Current: 700/252
• CPC Class Codes: B25J 9/1664 characterised by motion, path, trajectory planning

Abstract

A method for controlling a system or robot having at least one effector. An initial sequence of control points is computed. The system or the robot is evaluated by a global cost function that uses internal simulation based on the control points. The sequence of control points are updated based on the evaluation. The evaluation of the system or the robot and the updating of the sequence of control points are repeated until a given termination criterion is met.

Claims

1. A computer based method of controlling at least one of a system or robot including at least one effector, comprising:

(a) computing an initial sequence of control points;

(b) evaluating the at least one of the system or the robot by computing a global cost function that uses internal simulation based on the control points;

(c) updating the initial sequence to form a current sequence of the control points based on the evaluation;

(d) repeating steps (b) and (c) until a termination criterion is met; and

(e) outputting the current sequence of the control points after the termination criterion is met.

2. The method of claim 1, wherein the global cost function comprises optimality criteria formulated such that underlying reactive attractor dynamics generate globally optimal trajectories.

3. The method of claim 1, wherein timing of control points is controlled by causal events.

4. The method of claim 1, wherein the initial sequence is computed by linearly interpolating from an initial position of the at least one effector to a target position.

5. The method of claim 1, wherein computing the global cost function comprises:

forward simulating behaviour of the at least one of the system or the robot; and

backward propagating cost function gradients.

6. The method of claim 1, wherein the initial and current sequence of the control points is updated using at least one of resilient backpropogation, a Conjugate Gradient method or a stochastic search.

7. The method of claim 1, wherein the updated control points are computed after the system starts moving, the updated control points applied during execution of the movements.

8. The method of claim 1, wherein the control points comprise task parameters that are also optimized.

9. The method of claim 1, wherein a number of control points is optimized.

10. The method of claim 1, wherein timing of the control points is optimized.

11. The method of claim 1, wherein the global cost function comprises a combination of optimality criteria representing collision avoidance, momentum compensation, and similarity to observed human motions.

12. The method of claim 1, wherein the control points are provided to the at least one of the system or the robot in a time-synchronous manner.

13. The method of claim 1 wherein the control points provided to the at least one of the system or the robot as synchronized by causal events.

14. A computer readable storage medium structured to store instructions executable by a processing system, the instructions when executed cause the processing system to:

(a) compute an initial sequence of control points;

(b) evaluate at least one of a system or a robot by computing a global cost function that uses internal simulation based on the control points;

(c) update the initial sequence to form a current sequence of the control points based on the evaluation;

(d) repeat (b) and (c) until a termination criterion is met; and

(e) output the current sequence of control points after the termination criterion is met.

15. A system, comprising:

(a) means for computing an initial sequence of control points;

(b) means for evaluating the system by a global cost function that uses internal simulation based on the control points;

(c) means for updating the initial sequence to form a current sequence of control points based on the evaluation;

(d) means for repeating (b) and (c) until a termination criterion is met; and

(e) means for outputting the current sequence of the control points after the termination criterion is met.