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Concepts of Augmented Image Space and Transformed Feature Space for Efficient Visual Servoing of an “Eye-in-Hand Robot”

Published online by Cambridge University Press:  09 March 2009

Won Jang ,
Kyungjin Kim ,
Myungjin Chung  and
Zeungnam Bien
Won Jang
Affiliation:
Department of Electrical Engineering, KAIST, P. O. Box 150, Cheongryang, Seoul (Korea)
Kyungjin Kim
Affiliation:
Department of Electrical Engineering, KAIST, P. O. Box 150, Cheongryang, Seoul (Korea)
Myungjin Chung
Affiliation:
Department of Electrical Engineering, KAIST, P. O. Box 150, Cheongryang, Seoul (Korea)
Zeungnam Bien
Affiliation:
Department of Electrical Engineering, KAIST, P. O. Box 150, Cheongryang, Seoul (Korea)
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Summary

For efficient visual servoing of an “eye-in-hand” robot, the concepts of Augmented Image Space and Transformed Feature Space are presented in the paper. A formal definition of image features as functionals is given along with a technique to use defined image features for visual servoing. Compared with other known methods, the proposed concepts reduce the computational burden for visual feedback, and enhance the flexibility in describing the vision-based task. Simulations and real experiments demonstrate that the proposed concepts are useful and versatile tools for the industrial robot vision tasks, and thus the visual servoing problem can be dealt with more systematically.

Keywords

Augmented Image SpaceTransformed Feature SpaceVisual servoingEye-in-hand robotImage features
Type
Article
Information
Robotica , Volume 9 , Issue 2 , April 1991 , pp. 203 - 212
Copyright
Copyright © Cambridge University Press 1991

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References

1.Saraga, P. and Jones, B.M., “Simple Assembly Under Visual Control,” In: Robot Vision (ed. Pugh, Alan). International Trends in Manufacturing Technology (IFS Publications, UK, 1983). pp. 209–223.CrossRefGoogle Scholar
2.Torgerson, E. and Paul, F.W., “Vision-Guided Robotic Fabric Manipulation for Apparel Manufacturing” IEEE Control Systems Magazine 8, No. 2, 14–20 (02, 1988).Google Scholar
3.Chen, Y.P. and Koivo, A.J., “Visual Feedback to Predict Obstacle Motion for On-Line Collision-Free Trajectory Planning of Cylindrical Robots,” In: Proceedings IEEE/RSJ International Workshop on Intelligent Robots and Systems '89 (IROS '89). The Autonomous Mobile Robots and its Applications (IFS Publications, UK, 1989). pp. 612–618.Google Scholar
4.Loughlin, C. and Hudson, E., “Eye in Hand Robot Vision” In: Proceedings of The 2nd International Conference on Robot Vision and Sensory Controls (IFS, UK, 11, 1982). pp. 263–270.Google Scholar
5.Sanderson, A.C. and Weiss, L.E., “Adaptive Visual Servo Control of Robots,” In: Robot Vision (ed. Pugh, Alan). International Trends in Manufacturing Technology (IFS Publications, UK, 1983). pp. 107–116.CrossRefGoogle Scholar
6.Kim, K.J., Oh, S.-R. and Bien, Z., “Visual Servoing of a Robot Manipulator Using 3-D Information from Hand-Held Camera Motion” In: Proceedings of 25th Conference on Decision and Control (IEEE Control Systems Society,New York, 12, 1986). pp. 417–422.CrossRefGoogle Scholar
7.Weiss, L.E., Sanderson, A.C. and Neuman, C.P., “Dynamic Sensor-Based control of Robots with Visual Feedback” IEEE J. Robotics and Automation 3, No. 5, 404–417 (10, 1987).CrossRefGoogle Scholar
8.Feddema, J.T., Lee, C.S.G. and Mitchell, O.R., “Automatic Selection of Image Features for Visual Servoing of a Robot Manipulator.” In: Proceedings 1989 IEEE International Conference on Robotics and Automation (IEEE Computer Society Press,Washington, D.C., 05, 1989). pp. 832–837.Google Scholar
9.King, F.G., Puskorius, G.V., Yuan, F., Meier, R.C., Jeyabalan, V. and Feldkamp, L.A., “Vision Guided Robots for Automated Assembly.” In: Proceedings 1988 International Conference on Robotics and Automation (IEEE Computer Society Press,Washington, D.C., 04, 1988). pp. 1611–1616.Google Scholar
10.Lide, Y. and Stewart, N.F., “Distance estimation in a system with a mobile camera” Robotica 5, Part 3, 197–200 (1987).CrossRefGoogle Scholar
11.Watanabe, T., Nakajima, K. and Takahashi, K., “Pattern Recognition of 3-D Objects using A Hand Eye System” In: Proceedings IEEE International Workshop on Intelligent Robots and Systems (IROS '88) (IFS Publications, UK, 10, 1988)., pp. 287–302.Google Scholar
12.Feddema, J.T. and Mitchell, O.R., “Vision-Guided Servoing with Feature-Based Trajectory Generation” IEEE Transactions on Robotics and Automation 5, No. 5, 691–700 (10, 1989).Google Scholar
13.Craig, J.J., Introduction to Robotics: Mechanics & Control (Addison Wesley, New York, 1986).Google Scholar
14.Taylor, P.M., Selke, K.K.W. and Taylor, G.E., “Closed loop control of an industrial robot using visual feedback from a sensory gripper” In: Proceedings 12th International Symposium on Industrial Robots. (IFS Publications, UK, 06 1982). pp. 79–86.Google Scholar
15.Hill, J.J., Burgess, D.C. and Pugh, A., “The vision-guided assembly of high-power semiconductor diodes” In: Proceedings 14th International Symposium on Industrial Robots (IFS Publications, UK, 1989)., pp. 449–459.Google Scholar
16.van Gool, L., Vermeyen, P. and Oosterlinck, A., “The Recognition and Acquisition of Parts by a Robot with Visual Feedback” In: Proceedings 16th International Symposium on Industrial Robots (ed. ProfVan Brussel, H.) (IFS Publications, UK, 10, 1986). pp. 513–522.Google Scholar
17.Miller, W.T. III, “Sensor-Based Control of Robotic Manipulators Using a General Learning Algorithm” IEEE J. Robotics and Automation 3, No. 2, 157–165 (IEEE Robotics and Automation Society, New York, 04, 1987).Google Scholar
18.Luo, R.C., Mullen, R.E. Jr. and Wessell, D.E., “An Adaptive Robotic Tracking System using Optical Flow” In: Proceedings 1988 International Conference on Robotics and Automation (IEEE Computer Society Press,Washington, D.C., 04 1988). pp. 568–573.Google Scholar
19.Nevatia, R., “Depth Measurement by Motion Stereo” Computer Graphics and Image Processing 5, 203–214 (Academic Press, New York, 1976).Google Scholar
20.Williams, T.D., “Depth from Camera Motion in a Real World Scene” IEEE Transactions on Pattern Analysis and Machine Intelligence 2, No. 6, 511–516 (IEEE Computer Society Press, Washington, D.C., 11, 1980).CrossRefGoogle Scholar
21.Miyazaki, F. & Arimoto, S., “Sensory Feedback for Robot Manipulators” J. Robotic Systems 2, No. 1, 53–71 (1985).Google Scholar
22.Graybill, F.A., Introduction to Matrices with Applications in Statistics, Wadsworth Publishing Company (California, 1969).Google Scholar
23.Bez, H.E., “Homogeneous coordinates for computer graphics” Computer-aided Design, vol. 15, No. 6 (Butterworth & Co. London, 1983). pp. 361–365.Google Scholar
24.Perkins, W.A. and Binford, T.O., “A Corner Finder for Visual Feedback” Computer Graphics and Image Processing, vol. 2 (Academic Press, New York, 1973). pp. 358–376.Google Scholar
25.Koren, Y., Robotics for Engineers (McGraw-Hill, New York, 1985).Google Scholar
26.Yin, B., “Using Vision Data in an Object-Level Robot Language – RAPT” Int. J. Robotics Research 6, No. 1, 43–58 (Spring, 1987).Google Scholar