Bio-Inspired Self-Organizing Robotic Systems by Yan Meng, Yaochu Jin

By Yan Meng, Yaochu Jin

Encouraged by way of organic phenomena comparable to social insect habit and molecular morphogenesis, self-organizing methods in complicated robot structures have an ever-higher profile, and this beneficial reference covers the cutting-edge during this box.

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924–928 (2009) 4. : Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. The Journal of Neuroscience 2(1), 32–48 (1982) 5. : What is metamophosis? Integrative and Comparative Biology 46, 655– 661 (2006) 6. : Developmental Neuroscience. Wiley, Chichester (2006) Morphogenetic Robotics 21 7. : Signaling mechanisms linking neuronal activity to gene expression and plasticity of the nervous system. Annual Review of Neuroscience 31, 563–590 (2008) 8.

19]. EvoDevo-inspired processes will allow us to evolve network patterns and multi-modular robot shapes in parallel (see Fig. 15(b)), thus expecting a joint evaluation of controller and corresponding body shape. The embryo developed by VE (see Fig. 14(b)) consists of many individual cells. The virtual embryogenetical growth process is controlled again by a genome (see Fig. 15). There is high similarity between the rule-set of AHHS and VE, which is also reflected by high similarities in the genome syntax and grammar.

Regulatory networks analysis: Robustness in morphogenesis. In: 2009 Int. Conf. on Advanced Information Networking and Application Workshops, Bradford, UK, pp. 924–928 (2009) 4. : Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. The Journal of Neuroscience 2(1), 32–48 (1982) 5. : What is metamophosis? Integrative and Comparative Biology 46, 655– 661 (2006) 6. : Developmental Neuroscience. Wiley, Chichester (2006) Morphogenetic Robotics 21 7.

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