Evolutionary robotics and the radical envelope-of-noise hypothesis

Adaptive Behavior

Volumn 6, Issue 2, 1997, Pages 325-368

  Jakobi, Nick ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

Evolutionary robotics; Neural networks; Robot environment interactions; Simulations

Indexed keywords

EID: 0031215210     PISSN: 10597123     EISSN: None     Source Type: Journal    
DOI: 10.1177/105971239700600205     Document Type: Article

References (28)

1. Beer, R., & Gallagher, J. (1992). Evolving dynamic neural networks for adaptive behavior. Adaptive Behavior, 1, 91-122.
2. Braitenberg, V. (1984). Vehicles: Experiments in synthetic psychology. Cambridge, MA: MIT Press/Bradford Books.
3. Brogan, W. L. (1991). Modern control theory (3rd ed.). New York: Prentice Hall.
4. Brooks, R. (1991). Intelligence without reason. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. San Mateo, CA: Morgan Kauffman.
5. Chiel, H., Beer, R., Quinn, R., & Espenschied, K. (1992). Robustness of a distributed neural network controller for locomotion in a hexapod robot. IEEE Transactions on Robotics and Automation, 8(3), 293-303.
6. Collett, T. S. (1996). Insect navigation en-route to the goal: Multiple strategies for the use of landmarks. Journal of Experimental Biology, 199(1), 227-235.
7. Collins, R., & Jefferson, D. (1991). Selection in massively parallel genetic algorithms. In R. K. Belew & L. B. Booker (Eds.), Proceedings of the Fourth International Conference on Genetic Algorithms, ICGA-91. San Mateo, CA: Morgan Kaufmann.
8. Floreano, D., & Mondada, F. (1994). Automatic creation of an autonomous agent: Genetic evolution of a neural-network driven robot. In D. Cliff, P. Husbands, J. Meyer, & S. Wilson (Eds.), From animals to animals 3: Proceedings of the Third International Conference on the Simulation of Adaptive Behavior, Vol. 3. Cambridge, MA: MIT Press/Bradford Books.
9. Harvey, I. (1992). Species adaptation genetic algorithms: The basis for a continuing saga. In F. J. Varela & P. Bourgine (Eds.), Toward a practice of autonomous systems: Proceedings of the First European Conference on Artificial Life. Cambridge, MA: MIT Press/Bradford Books.
10. Harvey, I., Husbands, P., & Cliff, D. (1994). Seeing the light: Artificial evolution, real vision. In D. Cliff, P. Husbands, J. Meyer, & S. Wilson (Eds.), From animals to animats 3: Proceedings of the Third International Conference on Simulation of Adaptive Behavior, Vol. 3. Cambridge, MA: MIT Press/Bradford Books.
11. Horridge, G. (1992). What can engineers learn from insect vision. Philosophical Transactions of the Royal Society of London, 337(1281), 271-282.
12. Husbands, P., & Harvey, I. (1992). Evolution versus design: Controlling autonomous robots. In Integrating perception, planning and action: Proceedings of the Third Annual Conference on Artificial Intelligence, Simulation and Planning. Los Alamitos, CA: IEEE Press.
13. Husbands, P., Harvey, I., & Cliff, D. (1993). An evolutionary approach to situated a.i. In A. Sloman, D. Hogg, G. Humphreys, A. Ramsay, & D. Partridge (Eds.), Prospects for artificial intelligence. Amsterdam: IOS Press.
14. Husbands, P., Harvey, I., Jakobi, N., Thompson, A., & Cliff, D. (1997). A case study in evolutionary robotics. In T. Back, D. Fogel, & Z. Michalewicz (Eds.), Handbook of evolutionary computation. New York: Oxford University.
15. Jakobi, N. (1996). Encoding scheme issues for open-ended artificial evolution. In H.-M. Voigt, W. Ebeling, I. Rechenberg, & H.-P. Schwefel (Eds.), Proceedings of the Fourth International Conference on Parallel Problem Solving in Nature. Berlin: Springer-Verlag.
16. Jakobi, N. (1997a). Half-baked, ad-hoc and noisy: Minimal simulations for evolutionary robotics. In P. Husbands & I. Harvey (Eds.), Proceedings of the Fourth European Conference on Artificial Life. Cambridge, MA: MIT Press.
17. Jakobi, N. (1997b). A minimal simulation for evolving walking behaviour in an octopod robot. Cognitive science research paper CSRP464, University of Sussex.
18. Jakobi, N., Husbands, P., & Harvey, I. (1995). Noise and the reality gap: The use of simulation in evolutionary robotics. In F. Moran, A. Moreno, J. Merelo, & P. Chacon (Eds.), Advances in artificial life: Proceedings of the Third European Conference on Artificial Life. Berlin: Springer-Verlag.
19. K-Team (1993). Khepera user's manual. Lausanne: EPFL.
20. Matarić, M., & Cliff, D. (1996). Challenges in evolving controllers for physical robots. Robot and Autonomous Systems, 19(1), 67-83.
21. Michel, O. (1995). An artificial life approach for the synthesis of autonomous agents. In J. Alliot, E. Lutton, E. Ronald, M. Schoenauer, & D. Snyers (Eds.), Proceedings of the European Conference on Artificial Evolution. Berlin: Springer-Verlag.
22. Miglino, O., Lund, H., & Nolfi, S. (1995). Evolving mobile robots in simulated and real environments. Artificial Life, 2(4), 417-434.
23. Nilsson, N. J. (1984). Shakey the robot (Tech. Note 323). Menlo Park, CA: SRI International.
24. Nolfi, S., Floreano, D., Miglino, O., & Mondada, F. (1994a). How to evolve autonomous robots: Different approaches in evolutionary robotics (Tech. Rep. PCIA-94-03). Rome, Italy: Department of Cognitive Processes and Artificial Intelligence.
25. Nolfi, S., Miglino, O., & Parisi, D. (1994b). Phenotypic plasticity in evolving neural networks. In P. Gaussier & J.-D. Nicoud (Eds.), Proceedings of the "From Perception to Action" Conference. Cambridge, MA: IEEE Computer Society Press.
26. Thompson, A. (1995). Evolving electronic robot controllers that exploit hardware resources. In F. Moran, A. Moreno, J. Merelo, & P. Chacon (Eds.), Advances in artificial life: Proceedings of the Third European Conference on Artificial Life. (Lecture Notes in Artificial Intelligence 929.) Berlin: Springer-Verlag.
27. Thompson, A. (1996). An evolved circuit, intrinsic in silicon, entwined with physics. In T. Higuchi & M. Iwata (Eds.), Proceedings of the First International Conference on Evolvable Systems (ICES'96), LNCS. Berlin: Springer-Verlag.
28. Wehner, R. (1987). Matched-filters - neural models of the external world. Journal of Comparative Physiology, 161(4), 551-531.