Co-evolving complex robot behavior

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

Volumn 2606, Issue , 2003, Pages 308-319

  Østergaard, Esben Hallundbæk ^a   Lund, Henrik Hautop ^a  

^a UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; COBALT COMPOUNDS; CONTROLLERS; HARDWARE; RACING AUTOMOBILES; RECONFIGURABLE HARDWARE; ROBOTS;

COMPETITIVE CO EVOLUTIONS; CONTROLLER PERFORMANCE; EVOLUTIONARY ROBOTICS; EVOLVING CONTROLLERS; POPULATION EVOLUTION; ROBOT BEHAVIOR; ROBOT CONTROLLER; SIMPLE ENVIRONMENTS;

ROBOTICS;

EID: 84906059081     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (18)

1. Peter J. Angeline and Jordan B. Pollack. Competitive Environments Evolve Better Solutions for Complex Tasks. In Stephanie Forrest, editor, Genetic Algorithm: Proceedings of the Fifth International Conference (GA93), 1993.
2. Alan D. Blair, Mark Land, and Jordan B. Pollack. Coevolution of a backgammon player. In Proceedings of the Fifth Artificial Life Conference, 1996.
3. R. Brooks. Artificial life and real robots. In European Conference on Artificial Life, pages 3–10, 1992.
4. Dave Cliff and Geoffrey F. Miller. Tracking the red queen: Measurements of adaptive progress in co-evolutionary simulations. In F. Morán, A. Moreno, J. J. Merelo, and P. Chacon, editors, Proceedings of the Third European Conference on Artificial Life: Advances in Artificial Life, volume 929 of LNAI, pages 200–218, Berlin, June 1995. Springer Verlag.
5. Dave Cliff and George Miller. Co-evolution of Pursuit and Evasion II: Simulation Methods and Results. In Maes, P., Mataríc, M., Meyer, J.-A., Pollack, J., and Wilson, S. W., editors, From Animals to Animats 4: Proceedings of the fourth Internation Conference on Simulation of Adaptive Behavior (SAB96). MIT Press Bradford Books, 1996.
6. Dario Floreano and Stefano Nolfi. Co-evolving predator and prey robots: Do ‘arms races’ arise in artificial evolution? Artificial Life, 4 (4), pages 311–335, 1998.
7. Dario Floreano, Stefano Nolfi, and Francesco Mondada. Competitive coevolutionary robotics: From theory to practice. In R. Pfeifer, B. Blumberg, J-A. Meyer, and S.W. Wilson, editors, Animals to Animats V, pages 512–524. Cambridge, MA: MIT Press, 1998.
8. Dario Floreano, Stefano Nolfi, and Francesco Mondada. Co-evolution and ontogenetic change in competing robots. In M. Patel, V. Honavarand, and K. Balakrishnan, editors, Advances in the Evolutionary Synthesis of Intelligent Agents, Cambridge (MA). MIT Press, 2001.
9. I. Harvey, D. Cliff, and P. Husbands. Issues in evolutioanry robotics. In Roitblat, H. Meyer, J.-A. and Wilson, S., editors, Proceedings of SAB92. MIT Press Bradford Books, Cambridge, MA, jul 1992.
10. Daniel W. Hillis. Co-evolving parasites improve simulated evolution as an optimization procedure. In Chris Langton et al., editor, Artificial Life II, pages 313–324, 1992.
11. Nick Jacobi. The minimal simulation approach to evolutionary robotics. In Takashi Gomi, editor, Evolutionary Robotics, Volume II, 1998.
12. Nick Jacobi. Running across the reality gap: Octopod locomotion evolved in a minimal simulation. Lecture Notes in Computer Science, 1468:39–40, 1998.
13. Wei-Po Lee, John Hallam, and Henrik Hautop Lund. Learning complex robot behaviours by evolutionary approaches. 6th European Workshop on Learning Robots, EWLR-6, aug 1997.
14. Maja Mataríc and Dave Cliff. Challenges in evolving controllers for physical robots. In Proceedings, AAAI-92, 1996.
15. Orazio Miglino, Stefano Nolfi, and Henrik Hautop Lund. Evolving mobile robots in simulated and real environments. Artificial Life 2, pages 417–434, 1995.
16. Stefano Nolfi and Dario Floreano. How co-evolution can enhance the adaptive power of artificial evolution: Implications for evolutionary robotics. In Philip Husbands and Jean-Arcady Meyer, editors, Lecture Notes in Computer Science, volume 1468, 1998.
17. T.M.C. Smith. Blurred vision: Simulation-reality transfer of a visually guided robot. In P. Husbands and J.-A. Meyer, editors, Evolutionary Robotics, First European Workshop: EvoRobot98, Lecture Notes in Computer Science 1468, pages 152–164. Springer-Verlag, 1998.
18. M.M.B.R. Vellasco, M.A.C. Pchesco, and I.L Brasil. Mobile robot control using fuzzy logic. In Mondada, F. L¨offler, A. and Rückert, U., editors, Experiments with the Mini-Robot Khepera, 1999.