A Hybrid Neural Control Scheme for Visual-Motor Coordination

IEEE Control Systems

Volumn 19, Issue 4, 1999, Pages 34-41

  Behera, Laxmidhar ^a   Kirubanandan, Nandagopal ^a  

^a BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CALIBRATION; INTELLIGENT CONTROL; LEARNING SYSTEMS; MANIPULATORS; MATHEMATICAL MODELS; MOTION CONTROL; NEURAL NETWORKS; VECTORS;

HYBRID NEURAL CONTROL; KOHONEN'S SELF-ORGANIZING NETWORK; VISUAL MOTOR COORDINATION;

ROBOTIC ARMS;

EID: 0032628918     PISSN: 1066033X     EISSN: None     Source Type: Journal    
DOI: 10.1109/37.777787     Document Type: Article

References (12)

1. P. Liang, Y. L. Chang, and S. Hackwood, “Adaptive selfcalibration of vision-based robot systems,” in IEEE Trans. Syst., Man, Cybern., vol. 19, no. 4, pp. 811-824, 1989.
2. M. Kuperstein, “Adaptive visual-motor coordination in multijoint robots using parallel architecture,” Proc. IEEE Int. Automat. Robotics, Raleigh, NC, pp. 1595-1602, 1987.
3. M. Kuperstein, “Neural model of adaptive hand-eye coordination for single postures,” Science, vol. 239, pp. 1308-1311, 1988.
4. T.M. Martinetz, H.J. Ritter, and K. Schulten, “Three dimensional neural network for leaming visuomotor coordination of a robot arm,” IEEE Trans. NN, vol. 1, no. 1, pp. 131-136, 1990.
5. T.W. Miller, “Real-time application of neural networks for sensor-based control of robots with vision,” IEEE Trans. on Syst. Man, Cybern., vol. 19, no. 4, pp, 825-831, 1989.
6. J. Craig, “Introduction to Robotics,” Reading: Addison-Wesley, 1986.
7. R.Y. Tsai, “A versatile camera calibration technique for 3D machine vision metrology using off-the-shelf TV cameras and lenses,” IEEE J. Robotics and Autornation, vol. RA-3, no. 4, pp. 323-344, 1987.
8. R.K. Lena and R.Y. Tsai, “Techniques for calibration of the scale factor and image center for high accuracy 3D machine vision metrology,” Proc. IEEE Int. Conf. Robotics andilutornation, Raleigh, NC, 1987.
9. B.L. van der Waerden, Algebra, vol. I, New York: Springer-Verlag, 1966.
10. A.J. Walter and K.J. Schulten, “Implementation of self-organizing neural networks for visuo-motor coordination of an industrial robot,” IEEE Trans. NN, vol. 4, no. 1, 1993.
11. H. Ritter, T. Martinetz, and K. Schulten, “Topology-conserving maps for learning visuomotorcoordination,” Neural Networks, vol. 2, pp. 159-161, 1988.
12. T. Kohonen, “Self-organized formation of topographically correct feature maps,” Biolog. Cybern., vol. 43, pp. 59-69, 1982.