Self-organizing feature maps for modeling and control of robotic manipulators

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 36, Issue 4, 2003, Pages 407-450

  Barreto, Guilherme De A ^a   Araújo, Aluizio F R ^a   Ritter, Helge J ^b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b BIELEFELD UNIVERSITY   (Germany)

Author keywords

Compliant motion; Hand eye coordination; Kinematics and dynamics; Obstacle avoidance; Path planning; Redundancy; Robotics; Self organizing feature maps

Indexed keywords

ALGORITHMS; DEGREES OF FREEDOM (MECHANICS); KINEMATICS; MOTION CONTROL; MOTION PLANNING; ROBOTICS; SELF ORGANIZING MAPS;

COMPLIANT MOTION;

MANIPULATORS;

EID: 0038813620     PISSN: 09210296     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1023641801514     Document Type: Review

References (94)

1. Alhoniemi, E., Hollmén, J., Simula, O., and Vesanto, J.: 1999, Process monitoring and modeling using the self-organizing map, Integrated Comput. Aided Engrg. 6(1), 3-14.
2. Araújo, A. F. R. and Barreto, G. A.: 2002, Context in temporal sequence processing: A self-organizing approach and its application to robotics, IEEE Trans. Neural Networks 13(1), 45-57.
3. Arras, M. K., Protzel, P. W., and Palumbo, D. L.: 1992, Automatic learning rate adjustment for self-supervising autonomous robot control, in: K. Schuster (ed.), Applications of Neural Networks, VCH Verlag, Weinheim.
4. Balakrishnan, S. N. and Well, R. D.: 1996, Neurocontrol: A literature survey, Math. Comput. Modelling 23(1/2), 101-107.
5. Barreto, G. A. and Araújo, A. F. R.: 2001a, Time in self-organizing maps: An overview of models, Internat. J. Comput. Res. 10(2), 139-179.
6. Barreto, G. A. and Araújo, A. F. R.: 2001 b, A self-organizing NARX network and its application to prediction of chaotic time series, in: Proc. of the IEEE-INNS Internat. Joint Conf. on Neural Networks (IJCNN'01), Vol. 3, Washington, DC, pp. 2144-2149.
7. Barreto, G. A. and Araújo, A. F. R.: 2002, Temporal associative memory and function approximation with the self-organizing map, in: IEEE Workshop on Neural Networks for Signal Processing, IEEE Press, New York.
8. Behera, L., Gopal, M., and Chaudhury, S.: 1995, Self-organizing neural networks for learning inverse dynamics of robot manipulator, in: Proc. of the IEEE/IAS Internat. Conf. on Industrial Automation and Control, pp. 457-460.
9. Bekey, G. A.: 1992, Robotics and neural networks, in: B. Kosko (ed.), Neural Networks for Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, pp. 161-187.
10. Bernstein, N. A.: 1967, The Coordination and Regulation of Movements, Pergamon Press, Oxford.
11. Buessler, J.-L. and Urban, J.-P.: 1998, Visually guided movements: Learning with modular neural maps in robotics, Neural Networks 11(7/8), 1395-1415.
12. Buessler, J. L., Kara, R., Wira, P., Kihl, H., and Urban, J. P.: 1999, Multiple self-organizing maps to facilitate the learning of visco-motor correlations, in: Proc. of the IEEE Internat. Conf. on Systems, Man, and Cybernetics, Vol. III, Tokyo, Japan, pp. 470-475.
13. Bullock, D. and Grossberg, S.: 1988, Neural dynamics of planned arm movements: Emergent invariants and speed-accuracy properties during trajectory formation, Psycholog. Review 95, 49-90.
14. Bullock, D., Grossberg, S., and Guenther, F.: 1993, A self-organizing neural model of motor equivalent reaching and tool use by a multijoint arm, J. Cognitive Neurosci. 5(4), 408-435.
15. Carpenter, G. A., Grossberg, S., and Rosen, D. B.: 1991, Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system, Neural Networks 4, 759-771.
16. Cervera, E., Pobil, A. P., Marta, E., and Serna, M. A.: 1996, Perception-based learning for motion in contact in task planning, J. Intelligent Robotic Systems 17(3), 283-308.
17. Cimponeriu, A. and Kihl, H.: 1998, Intelligent control with the growing competitive linear local mapping neural network for robotic hand-eye coordination, in: Proc. of the 2nd Internat, Conf. on Knowledge-based Intelligent Electronic Systems (KES'98), Vol. 3, Adelaide, Australia, pp. 46-52.
18. Cohen, M. A. and Grossberg, S.: 1983, Absolute stability of global pattern formation and parallel memory storage by competitive neural networks, IEEE Trans. Systems Man Cybernet. 13, 815-826.
19. Coiton, Y., Gilhodes, J. C., Velay, J. L., and Roll, J. P.: 1991, A neural network model for the inter-sensory coordination involved in goal-directed movements, Biological Cybernet. 66, 167-176.
20. Cottrell, M.: 1998, Theoretical aspects of the SOM algorithm, Neurocomputing 21, 119-138.
21. Craig, J. J.: 1989, Introduction to Robotics: Mechanics and Control 2nd ed., Addison-Wesley, Reading, MA.
22. Cruse, H., Wischmeyer, E., Brüwer, M., Brockfeld, P., and Dress, A.: 1990, On the cost functions for the control of the human arm movement, Biological Cybernet. 62, 519-528.
23. de Angulo, V. R. and Torras, C.: 1996, Automatic recalibration of a space robot: An industrial prototype, in: Proc. of the Internat. Conf. on Artificial Neural Networks (ICANN'96), Bochum, Germany, pp. 635-640.
24. de Angulo, V. R. and Torras, C.: 1997, Self-calibration of a space robot, IEEE Trans. Neural Networks 8(4), 951-963.
25. Delgado, A.: 2000, Control of nonlinear systems using a self-organising neural network, Neural Comput. Appl. 9(2), 113-123.
26. DeMers, D. and Kreutz-Delgado, K.: 1996, Canonical parameterization of excess motor degrees of freedom with self-organizing maps, IEEE Trans. Neural Networks 7(1), 43-55.
27. Deo, A. S. and Walker, I. D.: 1995, Overview of damped least-squares methods for inverse kinematics of robot manipulators, J. Intelligent Robotic Systems 14(1), 43-68.
28. Faldella, E., Fringuelli, B., Passeri, D., and Rosi, L.: 1997, A neural approach to robotic haptic recognition of 3-d objects based on a Kohonen self-organizing feature map, IEEE Trans. Industr. Electronics 44(2), 267-269.
29. Flash, T. and Hogan, N.: 1995, Optimization principles in motor control, in: M. A. Arbib (ed.), The Handbook of Brain Theory and Neural Networks, MIT Press, Cambridge, MA, pp. 682-685.
30. Gaudiano, P. and Grossberg, S.: 1991, Vector associative maps: Unsupervised real-time error-based learning and control of movement trajectories, Neural Networks 4, 147-183.
31. Glasius, R., Komoda, A., and Gielen, S.: 1996, A biologically inspired neural net for trajectory formation and obstacle avoidance, Biological Cybernet. 84, 511-520.
32. Golnazarian, W. and Hall, E. L.: 2000, Intelligent industrial robots, in: R. L. Shell and E. L. Hall (eds), The Handbook of Industrial Automation, Marcel Dekker, New York.
33. Grossberg, S.: 1988, Nonlinear neural networks: Principles, mechanisms, and architectures, Neural Networks 1, 17-61.
34. Grossberg, S. and Kuperstein, M.: 1986, Neural Dynamics of Adaptive Sensory-Motor Control, Elsevier, Amsterdam.
35. Heikkonen, J. and Koikkalainen, P.: 1997, Self-organization and autonomous robots, in: O. Omidvar and P. van der Smagt (eds), Neural Systems for Robotics, Academic Press, New York, pp. 297-337.
36. Hesselroth, T., Sarkar, K., van der Smagt, P., and Schulten, K.: 1994, Neural network control of a pneumatic robot arm, IEEE Trans. Systems Man Cybernet. 24(1), 28-38.
37. Hunt, K. J., Sbarbaro, D., Zbikowski, R., and Gawthrop, P. J.: 1992, eural networks for control systems - A survey, Automatica 28(6), 1083-1112.
38. Hutchinson, S., Hager, G., and Corke, P.: 1996, A tutorial on visual servo control, IEEE Trans. Robotics Automat. 12(5), 651-670.
39. Jockusch, J.: 2000, Exploration based on neural networks with applications in manipulator control, Unpublished doctoral dissertation, Faculty of Technology, Neuroinformatic Group, University of Bielefeld, Bielefeld, Germany.
40. Jockusch, J. and Ritter, H.: 1999, An instantaneous topological mapping model for correlated stimuli, in: Proc. of the Internat. Joint Conf. on Neural Networks (IJCNN'99), Washington, pp. 529-534.
41. Jones, M. and Vernon, D.: 1994, Using neural networks to learn hand-eye co-ordination, Neural Computing Appl. 2, 2-12.
42. Kathib, O.: 1986, Real-time obstacle avoidance for manipulators and mobile robots, Internat. J. Robotics Res. 5, 90-98.
43. Kihl, H., Urban, J.-P., Grosser, J., and Hagmann, S.: 1995, Neural network based hand-eye positioning with a transputer-based system, in: Proc. of the Internat. Conf. on High Performance Computing and Networking, Milan, Italy, pp. 281-286.
44. Kohonen, T.: 1990, The self-organizing map, Proc. IEEE 78, 1464-1480.
45. Kohonen, T.: 1997, Self-Organizing Maps, 2nd extended ed., Springer, Berlin/Heidelberg.
46. Kohonen, T., Oja, E., Simula, O., Visa, A., and Kangas, J.: 1996, Engineering applications of the self-organizing map, Proc. IEEE 84(10), 1358-1384.
47. Kosko, B.: 1990, Unsupervised learning in noise, IEEE Trans. Neural Networks 1(1), 44-57.
48. Kung, S.-Y. and Hwang, J.-N.: 1989, Neural network architectures for robotic applications, IEEE Trans. Robotics Automat. 5(5), 641-657.
49. Kuperstein, M.: 1991, INFANT neural controller for adaptive sensory-motor coordination, Neural Networks 4, 131-145.
50. Kuperstein, M. and Rubistein, J.: 1989, Implementation of an adaptive neural controller for sensory-motor coordination, IEEE Control Systems Mag. 9(3), 25-30.
51. Martinetz, T. M. and Schulten, K. J.: 1991, A "neural-gas" network learns topologies, in: T. Kohonen, K. Makisara, O. Simula, and J. Kangas (eds), Artificial Neural Networks, North-Holland, Amsterdam, pp. 397-402.
52. Martinetz, T. and Schulten, K.: 1993, A neural network for robot control: Cooperation between neural units as a requirement for learning, Comput. Electrical Engrg. 19(4), 315-332.
53. Martinetz, T. and Schulten, K.: 1994, Topology representing networks, Neural Networks 7(3), 507-522.
54. Martinetz, T. M., Ritter, H. J., and Schulten, K. J.: 1990, Three-dimensional neural net for learning visuomotor coordination of a robot arm, IEEE Trans. Neural Networks 1(1), 131-136.
55. Massone, L. L. E.: 1995, Sensorimotor learning, in: M. A. Arbib (ed.), The Handbook of Brain Theory and Neural Networks, MIT Press, Cambridge, MA, pp. 860-864.
56. Medler, D. A.: 1998, A brief history of connectionism, Neural Computing Surveys 1, 61-101.
57. Menzel, R., Woelfl, K., and Pfeiffer, F.: 1993, The development of a hydraulic hand, in: Proc. of the 2nd Conf. on Mechatronics and Robotics, Duisburg/Moers, Germany, pp. 225-238.
58. Miller, W. T., Sutton, R. S., and Werbos, P. J.: 1990, Neural Networks for Control, MIT Press, Cambridge, MA.
59. Morasso, P. and Sanguineti, V.: 1995, Self-organizing body schema for motor planning, J. Motor Behavior 27(1), 52-66.
60. Morasso, P., Sanguineti, V., and Spada, G.: 1997, A computational theory of targeting movements based on force fields and topology representing networks, Neurocomputing 15, 411-434.
61. Murray, R. M., Li, Z., and Sastry, S. S.: 1994, A Mathematical Introduction to Robotics: Mechanics and Control, CRC Press, Boca Raton, FL.
62. Narendra, K. S. and Annaswamy, A. M.: 1989, Stable Adaptive Systems, Prentice-Hall, Englewood Cliffs, NJ.
63. Nehmzow, U.: 1998, Self-supervised and supervised acquisition of smooth sensory-motor competences in mobile robots, in: H. Cruse, H. Ritter, and J. Dean (eds), Prerational Intelligence in Robotics, Kluwer Academic, Dordrecht.
64. Prabhu, S. M. and Garg, D. P.: 1996, Artificial neural network based robot control: An overview, J. Intelligent Robotic Systems 15, 333-365.
65. Psaltis, D., Sideris, A., and Yamamura, A. A.: 1988, A multilayered neural network controller, IEEE Control Systems Mag. 8(2), 17-21.
66. Raibert, M. H. and Horn, B. K. P.: 1978, Manipulator control using the configuration space method, Industr. Robot 5, 69-73.
67. Ritter, H.: 1991, Learning with the self-organizing map, in: T. Kohonen, K. Makisara, O. Simula, and J. Kangas (eds), Artificial Neural Networks, Vol 1, North-Holland, Amsterdam, pp. 379-384.
68. Ritter, H.: 1993, Parametrized self-organizing maps, in: Proc. of the Internat. Conf. on Artificial Neural Networks (ICANN'93), Springer, Berlin, pp. 568-575.
69. Ritter, H. and Schulten, K.: 1987, Planning a dynamic trajectory via path finding in discretized phase space, in: Parallel Processing: Logic, Organization, and Technology, Vol. 253, Springer, Berlin, pp. 29-39.
70. Ritter, H., Martinetz, T., and Schulten, K.: 1989, Topology conserving maps for learning visuomotor coordination, Neural Networks 2, 159-168.
71. Ritter, H., Martinetz, T., and Schulten, K.: 1992, Neural Computation and Self-Organizing Maps: An Introduction, Addison-Wesley, Reading, MA.
72. Roy, A.: 2000, Artificial neural networks: A science in trouble, SIGKDD Explorations 1(2), 33-38.
73. Rylatt, M., Czarnecki, C., and Routen, T.: 1998, Connectionist learning in behaviour-based mobile robots: A survey, Artificial Intelligence Rev. 12, 445-468.
74. Sbarbaro, D. and Bassi, D.: 1995, A nonlinear controller based on self-organizing maps, in: Proc. of the IEEE Internat. Conf. on Systems, Man, and Cybernetics, Vancouver, CA, pp. 1774-1777.
75. Sciavicco, L. and Siciliano, B.: 2000, Modelling and Control of Robot Manipulators, 2nd edn. Springer, Berlin.
76. Simula, O., Ahola, J., Alhoniemi, E., Himberg, J., and Vesanto, J.: 1999, Self-organizing map in analysis of large-scale industrial systems, in: E. Oja and S. Kaski (eds), Kohonen Maps, Elsevier, Amsterdam, pp. 375-387.
77. Srinivasa, N. and Sharma, R.: 1997, SOIM: A self-organizing invertible map with applications in active vision, IEEE Trans. Neural Networks 8(3), 758-773.
78. Szepesvári, C. and Lörincz, A.: 1998, An integrated architecture for motion-control and path-planning, J. Robotic Systems 15(1), 1-15.
79. Torras, C.: 1995, Robot control, in: M. A. Arbib (ed.), The Handbook of Brain Theory and Neural Networks, MIT Press, Cambridge, MA, pp. 820-823.
80. Tzafestas, S. G.: 1995, Neural networks in robot control, in: S. G. Tzafestas and H. B. Verbruggen (eds), Artificial Intelligence in Industrial Decision Making, Control and Automation, Kluwer, Dordrecht, pp. 327-387.
81. Vesanto, J. and Alhoniemi, E.: 2000, Clustering of the self-organizing map, IEEE Trans. Neural Networks 11(3), 586-600.
82. Vukobratovic, M.: 1997, How to control robots interacting with dynamic environment, J. Intelligent Robotic Systems 19(2), 119-152.
83. Vukobratovic, M. and Tuneski, A.: 1996, Adaptive control of single rigid robotic manipulators interacting with dynamic environment - An overview, J. Intelligent Robotic Systems 17(1), 1-30.
84. Walter, J.: 1996, Rapid Learning in Robotics, Cuvillier Verlag, Göttingen.
85. Walter, J.: 1998, PSOM network: Learning with few examples, in: Proc. of the Internat. Conf. on Robotics and Automation (ICRA'98), Leuven, Belgium, pp. 2054-2059.
86. Walter, J. and Ritter, H.: 1995, Investment learning with hierarchical PSOM, in: D. Touretzky, M. Mozer, and M. Hasselmo (eds), Advances in Neural Information Processing Systems 8 (NIPS'95), MIT Press, Bradford, pp. 570-576.
87. Walter, J. and Ritter, H.: 1996, Rapid learning with parametrized self-organizing maps, Neurocomputing 12, 131-153.
88. Walter, J. A. and Schulten, K. J.: 1993, Implementation of self-organizing networks for visuo-motor control of an industrial robot, IEEE Trans. Neural Networks 4(1), 86-95.
89. Wu, C. M., Jiang, B. C., and Wu, C. H.: 1993, Using neural networks for robot positioning control, Robotics Comput.-Integrated Manufacturing 10(3), 153-168.
90. Yang, S. X. and Meng, M.: 2001, Neural network approaches to dynamic collision-free trajectory generation, IEEE Trans. Systems Man Cybernet. B 31(3), 302-318.
91. Zeller, M., Wallace, K. R., and Schulten, K.: 1995, Biological visuo-motor control of a pneumatic robot arm, in: Dagli, Akay, Chen, Fernandez, and Gosh (eds), Intelligent Engineering Systems through Artificial Neural Networks, ASME Press, New York, pp. 645-650.
92. Zeller, M., Sharma, R., and Schulten, K.: 1996, Topology representing network for sensor-based robot motion planning, in: Proc. of the World Congress on Neural Networks (WCNN'96), San Diego, CA, pp. 100-103.
93. Zeller, M., Sharma, R., and Schulten, K.: 1997, Motion planning of a pneumatic robot using a neural network, IEEE Control Systems Mag. 17, 89-98.
94. Zomaya, A. Y. and Nabhan, T. M.: 1994, Trends in neuroadaptive control for robot manipulators, in: R. Dorf and A. Kusiak (eds), Handbook of Design, Manufacturing and Automation, Wiley, New York, pp. 889-917.