Co-evolution of structures and controllers for neubot underwater modular robots

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

Volumn 3630 LNAI, Issue , 2005, Pages 189-199

  Von Haller, Barthélémy ^a   Ijspeert, Auke ^a   Floreano, Dario ^b  

^a Biologically Inspired Robotics Group   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; OSCILLATORS (ELECTRONIC); ROBOTICS; ROBOTS; ROBUSTNESS (CONTROL SYSTEMS);

ARTIFICIAL CO-EVOLUTIONS; MULTIPLE NEURAL OSCILLATORS; NEUBOT UNDERWATER MODULAR ROBOTS; NEURAL CONTROLLERS;

UNDERWATER EQUIPMENT;

EID: 33645980605     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11553090_20     Document Type: Conference Paper

References (21)

1. D. Floreano, A. J. Ijspeert, T. Bertolote, and C. Mattiussi. Neubots: The robotics legacy of John von Neumann. Technical report, submitted for publication, Laboratory of Intelligent Systems, EPFL, 2005.
2. T. Bertolote and V. Hentsch, Design and prototyping of an underwater modular robot, Unpublished Master Thesis, Laboratory of Intelligent Systems, EPFL, 2004.
3. J. vonNeumann. Theory of Self-reproducing Automata. University of Illinois Press, Urbana, IL, 1966. Edited and completed by A. W. Burks.
4. W. McCulloch and W. Pitts. A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics, 5:115-133, 1943.
5. Williams, T. Phase coupling by synaptic spread in chains of coupled neuronal oscillators. Science, 258, 662-665, 1992
6. S. Murata, E. Yoshida, A. Kamimura, H. Kurokawa, K. Tomita, and S. Kokaji. M-tran: Self-reconfigurable modular robotic system. IEEE/ASME Transactions on Mechatronics, 7:431-441, 2002.
7. G. Konidaris, T. Taylor, and J. Hallam. Hydrogen: Automatically generating self-assembly code for hydron units. In Proceedings of the Seventh International Symposium on Distributed Autonomous Robotic Systems (DARS04), Berlin, 2004.
8. Sims, K.: Evolving 3D Morphology and Behavior by competition. Artificial Life IV Proceedings, ed. by R. Brooks & P. Maes, MIT Press, pp 28-39, 1994.
9. Ekeberg, Ö.: A combined neuronal and mechanical model of fish swimming. Biological Cybernetics, 69, 363-374, 1993.
10. Grillner, S.: Neurobiological bases of rhytmic. motor, acts in vertebrates. Science, New Series, Vol. 228, No. 4696, pp 143-149 Apr. 12, 1985.
11. Kamimura, A., Kurokawa, H., Yoshida, E., Tomita, K., Murata, S., Kokaji, S.: Automatic Locomotion Pattern Generation for Modular Robots. Proceedings of the 2003 IEEE International Conference on Robotics & Automation, 2003
12. Yoshida, E., Murata, S., Kamimura, A., Tomid, K., Kurokawa, H., Kokaji, S.: Evolutionary Synthesis of Dynamic Motion and Reconfigutation, Process for a Modular Robot M-TRAN. IEEE International Symposium on Computation Intelligence in Robotics and Automation, 2003.
13. Fukuoka, Y., Kimura, H., Cohen, A. Adaptive dynamic walking of a quadruped robot on irregular terrain based on biological concepts. The International Journal of Robotics Research, 3-4, pp 187-202, 2003
14. Ijspeert, A. J.: A connectionist central pattern generator for the aquatic and terrestrial gaits of a simulated salamander, Biol. Cybern., Vol. 84:5, pp 331-348, 2001.
15. M. Komosinski, S. Ulatowski, Framestics: Towards a simulation of a nature-like world, creatures and evolution. ECAL 1999, pp. 261-265, 1999
16. H. Lipson, J.B. Pollack, Automatic design and manufacture of robotic lifeforms, in Nature, 406:974-978, 2000.
17. J.C. Bongard, R. Pfeifer, Repeated structure and dissociation of genotypic and phenotypic complexity in artificial ontongey, in Genetic and Evolutionary Computation Conference, p. 829-836, 2001.
18. Marbach, D., Ijspeert, A. J.: Co-evolution of Configuration and Control for Homogenous Modular Robots. Proceedings of the Eighth Conference on Intelligent Autonomous Systems (IAS8), pages 712-719. IOS Press, 2004.
19. Smith, R.: Open Dynamics Engine (ODE), webpage: http://www.ode.org/.
20. GAlib, webpage: http://lancet.mit.edu/ga/
21. Bongard, J.C. and C. Paul, Investigating Morphological Symmetry and Locomotive Efficiency using Virtual Embodied Evolution, in From Animals to Animais: The Sixth Int. Conference on the Simulation of Adaptive Behaviour, pp. 420-429, 2000.