Evolutionary developmental robotics
Evolutionary developmental robotics(evo-devo-robo for short), first coined and discussed in [1], refers to methodologies that integrate systematically 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 [2][3][4][5], in hardware systems [6], and in computing tissues [7].
See also
- Artificial life
- Cognitive robotics
- Morphogenetic robotics
- Developmental robotics
- Evolutionary robotics
References
- ^ Y. Jin and Y. Meng, "Morphogenetic robotics: A new emerging field of developmental robotics. (In preparation), 2009
- ^ H. Lipson, Evolutionary robotics and open-ended design automation.
- ^ J. Kodjabachian and J.-A. Meyer, Development, learning and evolution in animates. From Perception to Action, IEEE Press, 1994
- ^ D. Floreano, and J. Urzelai. Neural morphogenesis, synaptic plasticity and evolution. Theory in Biosciences, 120(3-4):225-240, 2001
- ^ 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
- ^ 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
- ^ C. Teuscher, D. Mange, A. Stauffer, and G. Tempesti. Bio-inspired computing tissues: Towards machines that evolve, grow, and learn. IPCAT'2001, April 2001