Friday, February 7, 2014

EVO DEVO ROBO: or Evolutionary developmental robotics

 

  1. Evolutionary developmental robotics - Wikipedia, the free ...

    en.wikipedia.org/wiki/Evolutionary_developmental_robotics‎
    Wikipedia
    Evolutionary developmental robotics (evo-devo-robo for short), formally suggested and fully discussed in, and further discussed in a Dialog refers to ...

    Evolutionary developmental robotics

    From Wikipedia, the free encyclopedia
    Evolutionary developmental robotics (evo-devo-robo for short), formally suggested and fully discussed in,[1] and further discussed in a Dialog [2] refers to methodologies that systematically integrate evolutionary robotics, epigenetic robotics and morphogenetic robotics to study the evolution, physical and mental development and learning of natural intelligent systems in robotic systems. The theoretical foundation of evo-devo-robo includes evolutionary developmental biology (evo-devo), evolutionary developmental psychology, developmental cognitive neuroscience etc. Further discussions on evolution, development and learning in robotics and design can be found in,[3][4][5][6] in hardware systems,[7][8] and in computing tissues.[9]

    See also

    References

    1. Jump up ^ Y. Jin and Y. Meng, "Morphogenetic robotics: A new emerging field in developmental robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Reviews and Applications, 41(2):145-160, 2011
    2. Jump up ^ Y. Jin and Y. Meng. "Evolutionary Developmental Robotics: The Next Step to Go?" IEEE CIS AMD Newsletter, 8(1):13-14, 2011
    3. Jump up ^ H. Lipson, Evolutionary robotics and open-ended design automation.
    4. Jump up ^ J. Kodjabachian and J.-A. Meyer, Development, learning and evolution in animates. From Perception to Action, IEEE Press, 1994
    5. Jump up ^ D. Floreano, and J. Urzelai. Neural morphogenesis, synaptic plasticity and evolution. Theory in Biosciences, 120(3-4):225-240, 2001
    6. Jump up ^ J. Kodjabachian and J.-A. Meyer. Evolution and development of neural controllers for locomotion, gradient-following and obstacle avoidance in artificial insects. IEEE Trans. on Neural Networks, 9(5):796-812, 1998
    7. Jump up ^ M. Sipper et al. A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems. IEEE Trans. on Evolutionary Computation. 1(1):83-97, 1997
    8. Jump up ^ H. Guo, Y. Meng, and Y. Jin. A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network. BioSystems, 98(3):193-203, 2009
    9. Jump up ^ C. Teuscher, D. Mange, A. Stauffer, and G. Tempesti. Bio-inspired computing tissues: Towards machines that evolve, grow, and learn. IPCAT'2001, April 2001
    This page was last modified on 1 June 2013 at 18:11.

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