Towards autonomous robot control via self-adapting recurrent networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1112 LNCS, Issue , 1996, Pages 611-616

  Ziemke, Tom ^a,b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITY OF SKÖVDE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; ROBOTS; COMPLEX NETWORKS;

AUTONOMOUS ROBOT CONTROL; CONTEXT DEPENDENT; INTERNAL STATE; MODULAR APPROACH; RECURRENT NETWORKS; SELF ADAPTING; SECOND ORDERS;

COMPLEX NETWORKS; ROBOTS;

EID: 84902175153     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61510-5_104     Document Type: Conference Paper

References (12)

1. Ackley, D. H. & Littman, M. L. (1990) Generalization and scaling in reinforcement learning, in Touretzky, D. S. (ed.) Advances in Neural Information Processing Systems, 550-557, Morgan Kaufmann, San Mateo, CA Beer, .
2. Randall D. (1995) A dynamical systems perspective on agent-environment interaction, Artificial Intelligence, 72, 173-215.
3. Brooks, Rodney (1986) A robust layered control system for a mobile robot, IEEE Journal of Robotics and Automation, 2 (1), 1986, 14-23.
4. Elman, J. (1990) Finding Structure in Time, Cognitive Science, 14, 179-192.
5. Jordan, Michael I., Jacobs, Robert A. (1995) Modular and hierarchical learning systems, in Arbib, M. (ed.) The Handbook of Brain Theory and Neural Networks, MIT Press, Cambridge, MA.
6. Meeden, Lisa (1996) An Incremental Approach to Developing Intelligent Neural Network Controllers for Robots, to appear in IEEE Transactions on Systems, Man, and Cybernetics, 26, special issue on Learning Autonomous Robots.
7. Michel, O. (1995) Khepera Simulator version 1.0 - User Manual, University of Nice- Sophia Antipolis, Valbonne, France, http://wwwi3s.unice.fr/-om/khep- sim.html.
8. Mondada, F., Franzi, E., & Ienne, R (1993) Mobile robot miniaturisation: A tool for investigation in control algorithms, in Third International Symposium on Experimental Robotics, Kyoto, Japan.
9. Pollack, Jordan B. (1991) The induction of dynamical recognizers, Machine Learning, 7, 227-252.
10. Schyns, Phillippe G. (1991) A Modular Neural Network Model of Concept Acquisition, Cognitive Science, 15, 461-508.
11. Steels, Luc (1995) When are robots intelligent autonomous agents?, Robotics and Autonomous Systems.
12. Ziemke, Tom (1996) Towards Adaptive Behaviour System Integration using Connec- tionist Infinite State Automata, to appear in Proceedings of the Fourth International Conference on the Simulation of Adaptive Behavior, MIT Press, Cambridge, MA.