Evolving homogeneous neurocontrollers for a group of heterogeneous robots: Coordinated motion, cooperation, and acoustic communication

Artificial Life

Volumn 14, Issue 2, 2008, Pages 157-178

  Tuci, Elio ^a   Ampatzis, Christos ^a   Vicentini, Federico ^b   Dorigo, Margo ^a  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

Collective robotics; Coordinated motion; Dynamic mental networks; Evolutionary robotics; Signaling; Social behavior

Indexed keywords

COLLISION AVOIDANCE; COMPUTER SIMULATION; INTELLIGENT AGENTS; NEURAL NETWORKS; ROBOTICS;

COLLECTIVE ROBOTICS; COORDINATED MOTION; DYNAMIC MENTAL NETWORKS; EVOLUTIONARY ROBOTICS; NEUROCONTROLLERS; PHOTOTAXIS;

MOBILE ROBOTS;

ACOUSTICS; ARTIFICIAL NEURAL NETWORK; METHODOLOGY; MOTION; REVIEW; ROBOTICS;

ACOUSTICS; MOTION; NEURAL NETWORKS (COMPUTER); ROBOTICS;

EID: 41149153801     PISSN: 10645462     EISSN: 15309185     Source Type: Journal    
DOI: 10.1162/artl.2008.14.2.157     Document Type: Article

References (28)

1. Ampatzis, C., Tuci, E., Trianni, V., & Dorigo, M. (in press). Evolution of signaling in a multi-robot system: Categorization and communication. Adaptive Behavior.
2. Balch, T., & Arkin, R. C. (1994). Communication in reactive multiagent robotic systems. Autonomous Robots], 1(1), 27-52.
3. Baldassarre, G., Nolfi, S., & Parisi, D. (2003). Evolving mobile robots able to display collective behavior. Artificial Life, 9, 255-267.
4. Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm intelligence: From natural to artificial systems. New York: Oxford University Press.
5. Cao, Y. U., Fukunaga, A. S., & Kahng, A. (1997). Cooperative mobile robotics: Antecedents and directions. Autonomous Robots, 4(1), 7-27.
6. Clancey, W. J. (1997). Situated cognition: On human knowledge and computer representations. Cambridge, UK: Cambridge University Press.
7. Di Paolo, E. (2000). Behavioral coordination, structural congruence and entrainment in a simulation of acoustically coupled agents. Adaptive Behavior, 8(1), 27-48.
8. Dorigo, M., & Şahin, E. (2004). Swarm robotics - Special issue editorial. Autonomous Robots, 17(2-3), 111-113.
9. Dorigo, M., & Şahin, E. (2007). Swarm robotics. Sechlarpedia. http://scholarpedia.org/articles/Swarm_Robotics. Accessed November 2007.
10. Dudek, G., & Jenkin, M, (2000). Computational principles of mobile robotics. Cambridge, UK: Cambridge University Press.
11. Fong, T., Nourbakhsh, I., & Dautenhahn, K. (2002). A survey of socially interactive robots. Robotics and Autonomous Systems, 42(3-4), 143-166.
12. Garnier, S., Gautrais, J, & Theraulaz, G. (2007). The biological principles of swarm intelligence. Swarm Intelligence, 1(1), 3-31.
13. Gibson, J. J. (1977). The theory of affordances. In R. Shaw & J. Bransford (Eds.), Perceiving, acting and knowing.' Toward an ecological psychology (pp. 67-82). Hillsdale, NJ: lawrence Erlbaum Associates.
14. Goldberg, D. E. (1989). Genetic algorithms in search, optimzation and machine learning. Reading, MA: Addison-Wesley.
15. 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 constructeurs. Insectes Sociaus, 6, 41-81.
16. Kandel, E., Schwartz, J., & Jessell, T. (Eds.) (2000). Principles of neural science (4th ed New York: McGraw-Hill.
17. Kube, C. R., & Zhang, H. (1993). Collective robotics: From social insects to robots. Adaptive Behaviour, 2(2), 189-218.
18. Marocco, D., & Nolfi,, S, (2005). Emergence of communication in embodied agents: Co-adapting communicative and non-communicative behaviours. In A. Cangelosi, G. Bugmann, & F, Borisyuk (Eds.), Modeling Language, Cognition and Action: 9th Neural Computation and Pychology Workshop. Singapore: World Scientific.
19. Marocco, D., & Nolfi, & (2006). Self-organization of communication in evolving robots. In L. Rocha, L. Yaeger, M. Bedau, D. Floreano, R. Goldstone, & A. Vespignani (Eds), Proceedings of the 10th International Conference on the Simulation and Synthesis of living Systems (Arfificial Life X) (pp. 178-184). Cambridge, MA: MIT Press.
20. Mondada, F., Pettinaro, G. C., Guignard, A., Kwee, I. W., Floreano, D, Deneubourg, J.-L., Nolfi, S., Gambardella, L. M., & Dorigo, M. (2004). SWARM-BOT: A new distributed robotic concept. Autonomous Robots, 17(2-3), 193-221.
21. Nolfi, S., & Floreano, D. (2000). Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines. Cambridge, MA: MIT Press.
22. Quinn, M. (2001a). A comparison of approaches to the evolution of homogeneous multi-robot teams. In Proceedings of the 2001 Congress on Evolutionary Computation (pp. 128-135). Piscataway, NJ: IEEE Press.
23. Quinn, M. (2001b). Evolving communication without dedicated communication channels. In J. Kelemen & P. Sosik (Eds.), Advances in Artificial Life: 6th European Conference on Artificial life (pp. 357-366). Berlin: Springer Verlag.
24. Quinn, M., Smith, L., Mayley, G., & Husbands, P. (2003). Evolving controllers for a homogeneous system of physical robots: Structured cooperation with minimal sensors. Philosophical Transactions of the Royal Society of London, Series A, 361, 2321-2344.
25. Stoy, K. (2001). Using situated communication in distributed autonomous mobile robots. In Proceedings of the 7th Scandinavian Conference on Artificial Intelligence (pp. 44-52). Amsterdam: IOS Press.
26. Trianni, V., & Dorigo, M. (2006). Self-organisation and communication, in groups of simulated and physical robots. Biological Cybernetics, 95, 213-231.
27. Vicentini, F., & Tud, E, (2006). Swarmod: A 2D shot's simulator. Technical Report TR/IRIDIA/2006-005, IRIDIA, CoDE, Université Libre de Bruxelles. This report is available at http://iridia.ulb.ac.bc/India TrSeries.html (accessed March 2006).
28. Winfield, A. F. T., Sa, J., Gago, M. C., Dixon, C., & Fisher, M. (2005). On formal specification of emergent behaviours in swarm robotic systems. International Journal of Advanced Robotic Systems, 2(3), 363-370.