The application of swarm intelligence to collective robots

Advances in Applied Artificial Intelligence

Volumn , Issue , 2006, Pages 157-185

  Sharkey, Amanda J C ^a   Sharkey, Noel ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34548323770     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59140-827-7.ch006     Document Type: Chapter

References (62)

1. Agassounon, W., Martinoli, A., & Easton, K. (2004). Macroscopic modeling of aggregation experiments using embodied agents in teams of constant and time-varying sizes. In M. Dorigo & E. Sahen (Eds.), Autonomous Robots (special issue on Swarm Robotics), 17(2-3), 163-191.
2. Arkin, R. C. (1990). Integrating behavioural, perceptual and world knowledge in reactive navigation. Robotics and Autonomous Systems, 6, 105-122.
3. Arkin, R. C. (1998). Behaviour-based robotics. Cambridge, MA: MIT Press.
4. nd ed.). Cambridge, MA: Bradford Books/MIT Press.
5. Balch, T. (2002). Measuring robot group diversity. In T. Balch & L. Parker (Eds.), Robot teams: From diversity to polymorphism. Natick, MA: A. K. Peters.
6. Baldassarre, G., Nolfi, S., & Parisi, D. (2002). Evolving mobile robots able to display collective behaviours. Proceedings of the International Workshop on Self-Organisation and Evolution of Social Behaviour, Monte Verita, Switzerland, September.
7. Beckers, R., Holland, O. E., & Deneubourg, J. L. (1994). From local actions to global tasks: Stigmergy and collective robotics. In R. Brooks & P. Maes (Eds.), Artificial life IV Cambridge, MA: MIT Press.
8. th Annual Meeting of the Robotics Society of Japan, Tokyo, Japan (pp. 425-428).
9. st International Collective Robotics Workshop - CRW 98, Lecture Notes in Artificial Intelligence (Vol. 145, pp. 13-24). Berlin, Germany: Springer-Verlag.
10. Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm intelligence: From natural to artificial systems. Oxford, UK: Oxford University Press.
11. Bonabeau, E., & Theraulaz, G. (2000). Swarm smarts. Scientific American, 282(3), 72-9.
12. Bourke, A. F. G., & Franks, N. R. (1995). Social evolution in ants. Princeton, NJ: Princeton University Press.
13. Braitenberg, V. (1984). Vehicles: Experiments in synthetic psychology. Cambridge, MA: MIT Press.
14. Brooks, R. (1986). A robust layered control system for a mobile robot. IEEE Journal on Robotics and Automation, 2, 14-23.
15. Brooks, R. (1991). New approaches to robotics. Science, 253, 13 September, 1227-1232.
16. Brooks, R. (1999). Cambrian intelligence: The early history of the new AI. Cambridge, MA: Bradford Books/MIT Press.
17. Burgard, W., Moors, M., Fox, D., Simmons, R., & Thrun, S. (2000). Collaborative multirobot exploration. Proceedings of the IEEE International Conference on Robotics and Automation, San Francisco, April 24-28, Los Alamitos, CA.
18. Cao, Y. U., Fukunaga, A. S., & Kahng, A. B. (1997). Cooperative mobile robotics: Antecedents and directions. Autonomous Robots, 4, 7-27.
19. Desai, J., Ostrowski, J., & Kumar, V. (1998). Controlling formations of multiple mobile robots. Proceedings of the IEEE International Conference on Robotics and Automation, Leuven, Belgium, May 16-20 (pp. 2864-2869).
20. Dorigo, M., & Colombetti, M. (1998). Robot shaping: An experiment in behavior engineering. Cambridge, MA: Bradford Books/MIT Press.
21. Dorigo, M., & Gambardella, L. M. (1997). Ant colony system: A cooperative learning approach to the travelling salesman problem. IEEE Transactions on Evolutionary Computation, 1(1), 53-66.
22. Dudek, G., Jenkin, M., & Milios, E. (2002). A taxonomy of multi-robot systems. In T. Balch & L. Parker (Eds.), Robot teams: From diversity to polymorphism. Natick, MA: A. K. Peters.
23. Dudek, G., Jenkin, M., Milios, E., & Wilkes, D. (1996). A taxonomy for multi-agent robotics. Autonomous Robots, 3(4), 375-397.
24. nd International Symposium on Robotics and Automation (ISRA-2000), Monterrey, Mexico, November (pp. 515-520).
25. Goldberg, D., & Mataric, M. (2002). Design and evaluation of robots behavior-based controllers. In T. Balch & L. Parker (Eds.), Robot teams: From diversity to polymorphism. Natick, MA: A. K. Peters.
26. Grabowski, R., Navarro-Serment, L. E., Panedis, C. J. J., & Khosla, P. K. (2002). Heterogeneous teams of modular robots. In T. Balch & L. Parker (Eds.), Robot teams: From diversity to polymorphism. Natick, MA: A. K. Peters.
27. Grassé, P. P. (1959). La reconstruction du nid et les coordinations inter-individuelles chez bellicositermes natalensis et cubitermes sp la théorie de la stigmergie: Essai d'interprétation du comportement des termites constructeur. Insectes Sociaux, 6, 41-80.
28. Holland, O., & Melhuish, C. (1999). Stigmergy, self-organisation, and sorting in collective robotics. Artificial Life, 5, 173-202.
29. Ijspeert, A. J., Martinoli, A., Billard, A., & Gambardella, L. M. (2001). Collaboration through the exploitation of local interactions in autonomous collective robotics: The stick pulling experiment. Autonomous Robots, 11, 149-171.
30. Jung, D., & Zelinsky, A. (1999). An architecture for distributed cooperative planning in a behaviour-based multi-robot system. Robotics and Autonomous Systems, 26, 149-174.
31. Krieger, M. J. B., & Billeter, J. B. (2000). The call of duty: Self-organised task allocation in a population of up to twelve mobile robots. Robotics and Autonomous Systems, 30, 65-84.
32. Kube, C. R., & Bonabeau, E. (2000). Cooperative transport by ants and robots. Robotics and Autonomous Systems, 30, 85-101.
33. Kube, C., & Zhang, H. (1996). The use of perceptual cues in multi-robot box-pushing. Proceedings of the IEEE International Conference on Robotics and Automation, Minneapolis, MN, 22-28 April (pp. 2085-2090).
34. th International Joint Conference on Artificial Intelligence, Detroit, MI, August (pp. 991-997).
35. Martinoli, A. (1999). Swarm intelligence in autonomous collective robotics: From tools to the analysis and synthesis of distributed collective strategies. PhD thesis NR 2069, DI-EPFL, Lausanne, Switzerland.
36. Mataric, M. (1992). Minimizing complexity in controlling a collection of mobile robots. Proceedings of the IEEE International Conference on Robotics and Automation, Nice, France, May (pp. 830-835).
37. Mataric, M. (1997a). Reinforcement learning in the multi-robot domain. Autonomous Robotics, 4(1), 73-83.
38. Mataric, M. (1997b). Behaviour-based control: Examples from navigation, learning, and group behaviour. Journal of Experimental and Theoretical Artificial Intelligence (Special Issue on Software Architectures for Physical Agents), 9(2-3), 323-336.
39. Murphy, R. (2002). Marsupial robots. In T. Balch & L. Parker (Eds.), Robot teams: From diversity to polymorphism. Natick, MA: A. K. Peters.
40. Nolfi, S. (1997). Using emergent modularity to develop control systems for mobile robots. Adaptive Behavior (Special issue on Environment Structure and Behavior), 3-4, 343-364.
41. Nolfi, S. (2002). Evolving robots able to self-localize in the environment: The importance of viewing cognition as the result of processes occurring at different time-scales. Connection Science, 14(3), 231-244.
42. nd ed.) (pp. 415-418). Cambridge, MA: Bradford Book/MIT Press.
43. Nolfi, S., & Floreano, D. (2000). Evolutionary robotics: The biology, intelligence, and technology of self-organising machines. Cambridge, MA: Bradford Books/MIT Press.
44. Nolfi, S., & Parisi, D. (1997). Learning to adapt to changing environments in evolving neural networks. Adaptive Behaviour, 1, 75-98.
45. Pagello, E., D'Angelo, A., Montesello, F., Garelli, F., & Ferrari, C. (1999). Cooperative behaviours in multi-robot systems through implicit communication. Robotics and Autonomous Systems, 29, 65-77.
46. Parker, L. E. (1994). ALLIANCE: Architecture for fault-tolerant cooperative control of heterogeneous mobile robots. Proceedings of the IEEE/RSJ Intelligent Robotics and Systems Conference (IROS), Munich, Germany, September (pp. 776-783).
47. Parker, L. E. (1998). ALLIANCE: An architecture for fault-tolerant multi-robot cooperation. IEEE Transactions on Robotics and Automation, 14(2), 220-240.
48. Payton, D. W., Rosenblatt, J. K., & Keirsey, D. M. (1990). Plan guided reaction. IEEE Transactions on Systems Man and Cybernetics, 20(6), 1370-1382.
49. Raignier, A., & van Boven, J. (1955). Étude taxonomique, biologique et biometrique des Dorylus du sou-genre Anomma (Hymenoptera Formicidae). Annales de Musée Royal du Congo Belge, n.s. 4, Sciences Zoologiques, 2, 1-359.
50. Rekleitis, I., Dudek, C., & Milos, E. (1997). Multi-robot exploration of an unknown environment, efficiently reducing the odometry error. Proceedings of the International Joint Conference on Artificial Intelligence - IJCAI (pp. 1340-1345). San Francisco: Morgan Kaufmann.
51. Schoonderwoerd, R., Holland, O.E., Bruten, J., & Rothkrantz, L, (1996). Ant-based load balancing in telecommunications networks (Tech. Rep. No. HPL-96-76, May 21), Hewlett-Packard Labs.
52. Sharkey, A. (Ed.). (1999). Combining artificial neural nets: Ensemble and modular multinet systems. Berlin, Germany: Springer-Verlag.
53. Sharkey, N. (1998). Learning from innate behaviours: A quantitative evaluation of neural network controllers. Autonomous Robotics, 5, 317-334.
54. nd Ed.) (pp. 160-164). Cambridge, MA: Bradford Book/MIT Press.
55. st International Collective Robotics Workshop - CRW98, Lecture Notes in Artificial Intelligence (Vol. 145, pp. 1-12). Berling, Germany: Springer-Verlag.
56. th International Conference on Simulation of Adaptive Behaviour, Complex Adaptive Systems (pp. 562-567). Cambridge, MA: MIT Press.
57. Stuart, A. M. (1967). Alarm, defence, and construction behavior relationships in termites (Isoptera). Science, 156, 1123-1125.
58. Walter, W. G. (1953). The living brain. New York: Norton.
59. Watkins, C. J. C. H. (1989). Learning with delayed rewards. PhD dissertation, King's College, University of Cambridge, UK.
60. Watson, R. A., Ficici, S. G., & Pollack, J. B. (2002). Embodied evolution: Distributing an evolutionary algorithm in a population of robots. Robotics and Autonomous Systems, 39, 1-18.
61. Wilson, E. O. (1971). The insect societies. Cambridge, MA/London: The Belknap Press of Harvard University Press.
62. Yamauchi, B. (1999). Decentralized coordination for multirobot exploration. Robotics and Autonomous Systems, 29, 111-118.