Abstract:
The authors investigate the selection of image features to be used to control visually the position and orientation (pose) of the end-effector of an eye-in-hand robot rel...Show MoreMetadata
Abstract:
The authors investigate the selection of image features to be used to control visually the position and orientation (pose) of the end-effector of an eye-in-hand robot relative to a workpiece. A resolved-motion-rate control scheme is used to update the robot's pose on the basis of the position of three features in the camera's image. The selection of these three features depends on the condition and sensitivity of the differential relationship between the image features and the control parameters. Both computer simulations and laboratory experiments on a PUMA robot arm were conducted to verify the performance of the feature selection criteria. Experimentally, the PUMA robot arm, with a CCD (charged-coupled device) camera mounted on its end effector, was able to track a randomly moving carburetor gasket with a visual feedback cycle time of 70 ms.<>
Date of Conference: 14-19 May 1989
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-8186-1938-4
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1.
A. C. Sanderson and L. E. Weiss, "Adaptive Visual Servo Control of Robots" in Robot Vision, IFS Publications Ltd., 1983.
2.
L. E. Weiss, A. C. Sanderson and C. P. Neuman, "Dynamic Sensor-Based Control of Robots with Visual Feedback", IEEE Journal of Robotics and Automation, vol. RA-3, no. 5, pp. 404-417, October 1987.
3.
R. C. Bolles, Verification Vision Within a Programmable Assembly System, 1975.
4.
R. Horaud and T. Skordas, "Model-Based Strategy Planning for Recognizing Partially Occluded Parts", Computer, pp. 58-64, August 1987.
5.
C. Hansen and T. Henderson, "CAGD-Based Computer Vision", Proceeding of the IEEE Workshop on Computer Vision, pp. 100-105, 1987-November.
6.
D. E. Whitney, "The Mathematics of Coordinated Control of Prosthetic Arms and Manipulators", Journal of Dynamic Systems Measurement and Control, vol. 122, pp. 303-309, December 1972.
7.
M. A. Fischler and R. C. Bolles, "Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography", Communications of the ACM, vol. 24, no. 6, pp. 381-395, June 1981.
8.
R. Tsia, "A Versatile Camera Calibration Technique for High-Accuracy 3D Vision Metrology Using Off-the-Shelf TV Cameras and Lenses", IEEE Journal of Robotics and Automation, vol. RA-3, no. 4, pp. 323-344, August 1987.
9.
S. Linnainmaa, D. Harwood and L. S. Davis, "Pose Determination of a Three-Dimensional Object Using Triangle Pairs", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 5, pp. 634-647, September 1988.
10.
J. T. Feddema, C. S. G. Lee and O. R. Mitchell, Optimal Selection of Image Features for Resolved Rate Visual Feedback Control, January 1989.
12.
R. P. Paul, Robot Manipulators: Mathematics Programming and Control, Massachusetts:The MIT Press, Cambridge, 1981.
13.
J. T. Feddema and O. R. Mitchell, "Vision Guided Servoing with Feature-Based Trajectory Generation", Proceeding of the SME World Conference on Robotic Research, 1989-May-9-12.
14.
B. Noble and J. W. Daniel, Applied Linear Algebra, N.J.:Prentice-Hall, Inc., Englewood Cliffs, pp. 168-174, 1977.