Faster learning of control parameters through sharing experiences of autonomous mobile robots

International Journal of Systems Science

Volumn 29, Issue 7, 1998, Pages 783-793

  Kelly, Ian D ^a   Keating, David A ^a  

^a UNIVERSITY OF READING   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATA THEORY; FUZZY SETS; LEARNING ALGORITHMS; ROBOT LEARNING;

FUZZY AUTOMATA;

MOBILE ROBOTS;

EID: 0032123218     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207729808929571     Document Type: Article

References (14)

1. Asama, H., Fukuda, T., Arai, T., and Endo, I. (Editors), 1996, Distributed Autonomous Robotic Systems 2 (Berlin: Springer-Verlag).
2. Brooks, R. A., 1986, A robust layered control system for a mobile robot: IEEE Journal of Robotics and Automation, 2, 14-23;
3. Brooks, R. A., 1991, Artificial life and real robots. Towards a Practice of Autonomous Systems: Proceedings of the First European Conference on Artificial Life, edited by F. J. Varela and P. Bourgine (Cambridge, Massachusetts: MIT Press), pp. 3-10.
4. Goldberg, D. E., 1989, Genetic Algorithms (Reading, Massachusetts: Addison-Wesley).
5. Kelly, I. D., and Keating, D. A., 1996. Flocking by the fusion of sonar and active infrared sensors on physical autonomous mobile robots. Proceedings of the 1996 Conference on Meehalronics, pp. I/I-1/4.
6. Langton, C., 1988, Artificial life. Artificial Life. Vol. VI, Santa Fe Institute Studies in the Sciences of Complexity (Reading, Massachusetts: Addison-Wesley), pp. 1-48.
7. Levy, S., 1992, Artificial Life: The Quest for a New Creation (Harmondsworth, Middlesex: Penguin Books).
8. Mataric, M. J., 1996, Learning in multi-robot systems. Adaptation and Learning in Multi-Agent Systems, Lecture Notes in Artificial Intelligence, Vol. 1042, edited by G. Weiss and S. Sen, (Berlin: Springer-Verlag), pp. 152-163.
9. M itchell, R. J., Keating, D. A., and Kambhampati, C., 1994, Neural network controller for mobile robot insect. Proceedings of the 1994 European Robotics and Intelligent Systems Conference, pp. 78-85.
10. Narendra, K., and ThathaChar, M., 1989, Learning Automata: an Introduction (Englewood Cliffs. New Jersey: Prentice-Hall).
11. Schaerf, A, Shoham, Y., and Tennenholtz, M., 1995, Adaptive load balancing: a study in multi-agent learning. Journal of Artificial Intelligence Research, 2, 475-500.
12. Sugawara, K., and Sano, M, 1996, Co-operative acceleration of task performance: Foraging behaviour of interacting multi-robots system. Distributed Autonomous Robotic Systems 2, edited by H. Asama, T. Fukuda, T. Arai and I. Endo (Berlin: Springer-Verlag), pp. 233-242.
13. Watkins, C. J. C. H., and Dayan, P., 1992, Technical note: g-learning. Machine Learning 8 (Boston, Massachusetts: Kluwer), pp. 279-292.
14. Yamaguchi, T., Masubuchi, M., Fujihara, K., and Yachida, M., 1996, Real-time reinforcement learning for a real robot in the real environment. Proceedings of the 1996 Intelligent Robotics and Systems, Osaka, Japan, pp. 1321-1328.