Autonomous mobile robot teams

Conference on Intelligent Robots in Factory, Field, Space, and Service, 1994

Volumn , Issue , 1994, Pages 246-252

  Agah, Arvin ^a   Bekey, George A ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MOBILE ROBOTS; NAVIGATION;

AUTONOMOUS MOBILE ROBOT; COGNITIVE ARCHITECTURES; MOBILE OBSTACLES; NOVEL CONCEPT; ROBOT TEAMS; SENSORY INFORMATION; UNSTRUCTURED ENVIRONMENTS;

INTELLIGENT ROBOTS;

EID: 85001976290     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.1994-1207     Document Type: Conference Paper

References (18)

1. Agah, A. (1993). Principles of Sociorobotics. Technical Report IRIS-93-3 17, Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, California.
2. Albus, J. S. (1991). Outline for a theory of intelligence. IEEE Transactions on Systems, Man, and Cybernetics, 21: 473-509.
3. Arbib, M. A. (1989). The Metaphorical Brain 2: Neural Networks and Beyond Wiley-Interscience, New York.
4. Arkin, R. C. (1992). Cooperation without communication: multiagent schema-based robot navigation. Journal of Robotic Systems, 9: 35 1-364.
5. Beer, R. D. (1990). Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology. Academic Press, San Diego.
6. Bekey, G. A. and Tomovic, R. (1986). Robot control by reflex actions. In Proceedings of the IEEE International Conference on Robotics and Automation, 240-246.
7. Beni, G. and Hackwood, S. (1990). The maximum entropy principle and sensing in swarm intelligence. In Varela, F. J. and Bourgine, P. (Eds.) Toward a Practice of Autonomous Systems. MIT Press, Cambridge, Massachusetts, 153-160.
8. Braitenberg, V. (1984). Vehicles, Experiments in Synthetic Psychology,. MIT Press, Cambridge, Massachusetts.
9. Brooks, R. A. (1989). A robot that walks: Emergent behaviors from a carefully evolved network. Neural Computation, 1: 253-262.
10. Deneubourg, J. L., Goss, S., Franks, N., Sendova-Franks, A., Detrain, C., and Chretien, L. (1991). The dynamics of collective sorting robot-like ants and ant-like robots. In Meyer, J.-A. and Wilson, S. W. (Eds.) From Animals to Animats. MIT Press, Cambridge, Massachusetts, 356-363.
11. Fukuda, T., Ueyama, T., and Arai, F. (1992). Control strategies for cellular robotic network. In Levis, A. H. and Stephanou, H. E. (Eds.) Distributed Intelligence Systems. Pergamon Press, Oxford. 177-182.
12. Kaelbling, L. P. (1992). Foundation: of Learning in autonomous agents. Robotics and Autonomous Systems, 8: 131-144.
13. Kawauchi, Y., Inaba, M., and Fukuda, T. (1993). A principle of distributed decision Making of cellular robotic system (CEB0T). In Proceedings of the IEEE International Conference on Robotics and Automation. Vol. 3, 833-838.
14. Laird, J. E., Newell, A., and Rosenbloom P. S. (1987). SOAR: An architecture for general intelligence. Artificial Intelligence, 33: 1-64.
15. Maes, P. and Brooks, R. A. (1991). Learning to coordinate Behaviors. In Iyengar, S. S. and Elfes, A. (Eds.) Autonomous Mobile Robots: Control, Planning and Architecture, IEEE Computer Society Press, Los Alamitos, California, 224-230.
16. Mataric, M. J. (1992). Minimizing complexity in controlling a mobile robot population. In Proceedings of the IEEE International Conference on Robotics and Automation, 830-835.
17. Walter, W. G. (1953). The Living Brain. W. W. Norton & Company, Inc., New York.
18. Wilson, E. O. (1980). Sociobiology: The Abridged Edition. The Belknap Press, Cambridge, Massachusetts.