Neural Network Control of a Pneumatic Robot Arm

IEEE Transactions on Systems, Man and Cybernetics

Volumn 24, Issue 1, 1994, Pages 28-38

  Hesselroth, Ted ^a   Sarkar, Kakali ^a   Schulten, Klaus ^a   van der Smagt, P Patrick ^a,b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GRIPPERS; PNEUMATIC EQUIPMENT; PROCESS CONTROL; ROBOTS;

JACOBIAN MATRICES; PNEUMATIC ROBOT ARM; SKELETAL MUSCLE SYSTEMS;

NEURAL NETWORKS;

EID: 0028277146     PISSN: 00189472     EISSN: 21682909     Source Type: Journal    
DOI: 10.1109/21.259683     Document Type: Article

References (24)

1. T. Kohonen, “Analysis of a simple self-organizing process,” Biol. Cybern., vol. 44, pp. 135–140, 1982.
2. “Self-organized formation of topologically correct feature maps,” Biol. Cybern., vol. 43, pp. 56–69, 1982.
3. T. M. Martinetz and K. Schulten, “A ‘neural gas’ network learns topologies,” in Proc. Int. Conf. Artificial Neural Networks, Helsinki, 1991. Elsevier Amsterdam, 1991.
4. C. von der Malsburg, “Self-organization of orientation sensitive cells in the striate cortex,” Kybernetik, vol. 14, pp. 85–100, 1973.
5. D. J. Willshaw and C. von der Malsburg, “How patterned neural connections can be set up by self-organization,” Proc. Roy. Soc. London, vol. B194, pp. 431–445, 1976.
6. K. Obermayer, G. G. Blasdel, and K. Schulten, “A neural network model for the formation and for spatial structure of retinotopic maps, orientation-and ocular dominance columns,” in Artificial Neural Networks, T. Kohonen, Ed., pp. 505–511. Amsterdam: North-Holland, Elsevier Science, 1991.
7. K. Obermayer, K. Schulten, and G. G. Blasdel, “A comparison between a neural network model for the formation of brain maps and experimental data,” in Advances in Neural Information Processing Systems 4, D. S. Touretzky and R. Lippman, Eds., Morgan Kaufmann, 1992 (Beckman Institute Tech. Rep. TB-92-01).
8. T. M. Martinetz and K. Schulten, “Competitive hebbian rule forms manifold representing networks,” Neural Networks (in press).
9. H. Ritter, T. Martinetz, and K. Schulten, Neural Computation and Self-Organizing Maps. New York: Addison-Wesley, 1992.
10. H. Ritter, T. Martinetz, and K. Schulten, “Topology-conserving maps for learning visuomotor-coordination,” NN, vol. 2, pp. 159–168, 1989.
11. T. Martinetz, H. Ritter, and K. Schulten, “Three-dimensional neural net for learning visuo-motor coordination of a robot arm,” IEEE Trans. Neural Networks, vol. 1, pp. 131–136, 1990.
12. T. M. Martinetz and K. Schulten, “A neural network for robot control: Cooperation between neurons causes learning,” Computers and Electrical Engineering, submitted to Special Issue on Neural Networks: Theory and Applications in Robotics and Manufacturing.
13. J. A. Walter, T. M. Martinetz, and K. Schulten, “Industrial robot learns visuo-motor coordination by means of ‘neural-gas’ network,” in Proc. Int. Conf. Artificial Neural Networks, Helsinki, 1991. Elsevier Amsterdam, 1991.
14. J. A. Walter and K. Schulten, “Implementation of as self-organizing neural network for visuo-motor control of an industrial robot,” IEEE Trans. Neural Networks, vol. 4, pp. 86–95, 1993.
15. J. J. Craig, “Introduction to Robotics,” Reading, MA: Addison-Wesley, Wesley, 1986.
16. G. Blasdel, “Orientation selectivity, preference and continuity in monkey striate cortex,” Neurosci., vol. 12, pp. 3139–3161.
17. G. G. Blasdel and G. Salama, “Voltage sensitive dyes reveal a modular organization in monkey striate cortex,” Nature, vol. 321, pp. 579–585, 1986.
18. H. Ritter and K. Schulten, “On the stationary state of Kohonen's self-organizing organizing sensory mapping,” Biol. Cybern., vol. 54, pp. 99–106, 1986.
19. M. Kuperstein and J. Rubinstein, “Implementation of an adaptive neural controller for sensory-motor coordination,” IEEE Contr. Syst. Mag., pp. 25–30, Apr. 1989.
20. M. Kuperstein, “INFANT neural controller for adaptive sensory-motor coordination,” Neural Networks, vol. 4, pp. 131–145, 1991.
21. J. Cooperstock and E. Milios, “Adaptive neural networks for vision-guided guided position control of a robot arm,” in Proc. 1992 IEEE Int. Symp. Intelligent Contr., Glasgow, Scotland, 1992, pp. 397–403.
22. M. Katayama and M. Kawato, “A parallel-hierarchical neural network model for motor control of a musculo-skeletal system,” Tech. Rep. TR-A-0145, ATR Auditory and Visual Perception Res. Lab., Apr. 1992.
23. “Learning trajectory and force control of an artificial muscle arm by parallel-hierarchical neural network model,” in Proc. IEEE Neural Inf. Processing Syst. 1990.
24. K. Sarkar and N. Schulten, “Manifold Representing Network Controls Grasping Movements,” in “Physics of Neural Networks,” E. Domany, J. L. va n Hemmen, and K. Schulten, Eds. (Springer, in press).