Noise and the reality gap: The use of simulation in evolutionary robotics

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

Volumn 929, Issue , 1995, Pages 704-720

  Jakobi, Nick ^a   Husbands, Phil ^a   Harvey, Inman ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

Artificial evolution; Evolutionary robotics; High fidelity simulations; Noise

Indexed keywords

CONTROLLERS; ROBOTICS;

AMBIENT LIGHT SENSORS; ARTIFICIAL EVOLUTION; DYNAMICAL NETWORKS; EVOLUTIONARY ROBOTICS; HIGH-FIDELITY SIMULATIONS; NOISE; ROBOT SIMULATIONS; ROBOT-ENVIRONMENT INTERACTION;

ROBOTS;

EID: 84957806813     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-59496-5_337     Document Type: Conference Paper

References (18)

1. R. A. Brooks. Intelligence without reason. In Proceedings IJCAI-91, pages 569-595. Morgan Kaufmann, 1991.
2. R. A. Brooks. Intelligence without representation. Artificial Intelligence, 47:139-159, 1991.
3. Rodney A. Brooks. Artificial life and real robots. In F. J. Varela and P. Bourgine, editors, Proceedings of the First European Conference on Artificial Life, pages 3-10. MIT Press/Bradford Books, Cambridge, MA, 1992.
4. R. Collins and D. Jefferson. Selection in massively parallel genetic algorithms. In R. K. Belew and L. B. Booker, editors, Proceedings of the Fourth Intl. Conf. on Genetic Algorithms, ICGA-91, pages 249-256. Morgan Kaufmann, 1991.
5. D. Floreano and F. Mondada. Automatic creation of an autonomous agent: Genetic evolution of a neural-network driven robot. In D. Cliff, P. Husbands, J. -A. Meyer, and S. Wilson, editors, From Animals to Animats 3, Proc. of 3rd Intl. Conf. on Simulation of Adaptive Behavior, SAB’94. MIT Press/Bradford Books, 1994.
6. A. S. Glasner, editor. An Introduction To Ray Tracing. Academic Press, London, 1989.
7. I. Harvey, P. Husbands, and D. Cliff. Seeing the light: Artificial evolution, real vision. In D. Cliff, P. Husbands, J. -A. Meyer, and S. Wilson, editors, From Animals to Animats 3, Proc. of 3rd Intl. Conf. on Simulation of Adaptive Behavior, SAB’94, pages 392-401. MIT Press/Bradford Books, 1994.
8. P. Husbands and I. Harvey. Evolution versus design: Controlling autonomous robots. In Integrating Perception, Planning and Action, Proceedings of 3rd Annual Conference on Artificial Intelligence, Simulation and Planning, pages 139-146. IEEE Press, 1992.
9. P. Husbands, I. Harvey, and D. Cliff. An evolutionary approach to situated AI. In A. Sloman et al., editor, Proc. 9th bi-annual conference of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB 93), pages 61-70. IOS Press, 1993.
10. N. Jakobi. Evolving sensorimotor control architectures in simulation for a real robot. Master’s thesis, School of Cognitive and Computing Sciences, University of Sussex, 1994.
11. K-Team. Khepera users manual. EPFL, Lausanne, June 1993.
12. J. Kunt. An Introduction to Control Theory. Huddersfield and Wallstone, 1964.
13. O. Miglino, C. Nafasi, and C. Taylor. Selection for wandering behavior in a small robot. Technical Report UCLA-CRSP-94-01, Dept. Cognitive Science, UCLA, 1994.
14. F. Mondada and P. Verschure. Modeling system-environment interaction: The complementary roles of simulations and real world artifacts. In Proceedings of Second European Conference on Artificial Life, ECAL93, pages 808-817. Brussels, May 1993, 1993.
15. S. Nolfi, D. Floreano, O. Miglino, and F. Mondada. How to evolve autonomous robots: Different approaches in evolutionary robotics. In R. Brooks and P. Maes, editors, Artificial Life IV, pages 190-197. MIT Press/Bradford Books, 1994.
16. Tim Smithers. On why better robots make it harder. In D. Cliff, P. Husbands, J. -A. Meyer, and S. Wilson, editors, From Animals to Animats 3, Proc. of 3rd Intl. Conf. on Simulation of Adaptive Behavior, SAB’94, pages 54-72. MIT Press/Bradford Books, 1994.
17. A. Thompson. Evolving electronic robot controllers that exploit hardware resources. In Submitted to ECAL’95, 1995.
18. B. Yamauchi and R. Beer. Integrating reactive, sequential, and learning behavior using dynamical neural networks. In D. Cliff, P. Husbands, J. -A. Meyer, and S. Wilson, editors, From Animals to Animats 3, Proc. of 3rd Intl. Conf. on Simulation of Adaptive Behavior, SAB’94, pages 382-391. MIT Press/Bradford Books, 1994