By Yan Meng, Yaochu Jin

Self-organizing ways encouraged from organic structures, equivalent to social bugs, genetic, molecular and mobile platforms lower than morphogenesis, and human psychological improvement, has loved nice good fortune in complex robot structures that have to paintings in dynamic and altering environments. in comparison with classical regulate equipment for robot structures, the foremost benefits of bio-inspired self-organizing robot platforms contain robustness, self-repair and self-healing within the presence of procedure mess ups and/or malfunctions, excessive adaptability to environmental alterations, and self sufficient self-organization and self-reconfiguration with out a centralized keep an eye on. “Bio-inspired Self-organizing robot platforms” presents a precious reference for scientists, practitioners and study scholars engaged on constructing keep an eye on algorithms for self-organizing engineered collective structures, corresponding to swarm robot structures, self-reconfigurable modular robots, clever fabric dependent robot units, unmanned aerial autos, and satellite tv for pc constellations.

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A hierarchical gene regulatory network model for adaptive pattern formation in changing environment. IEEE Transactions on Robotics (submitted 2011) 20. : Morphogenetic robotics: An emerging new field in developmental robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Reviews and Applications (2010) (accepted) 21. : A gene regulatory model for the development of primitive nervous systems. , Coghill, G. ) ICONIP 2008. LNCS, vol. 5506, pp. 48–55. Springer, Heidelberg (2009) 22.

A hierarchical gene regulatory network model for adaptive pattern formation in changing environment. IEEE Transactions on Robotics (submitted 2011) 20. : Morphogenetic robotics: An emerging new field in developmental robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Reviews and Applications (2010) (accepted) 21. : A gene regulatory model for the development of primitive nervous systems. , Coghill, G. ) ICONIP 2008. LNCS, vol. 5506, pp. 48–55. Springer, Heidelberg (2009) 22.

On the organism level. In addition, the system should not be hand-coded per se, it should represent an How to Engineer Robotic Organisms and Swarms? 41 (almost) open-ended dynamical system which can encode many processes in parallel. Again looking into comparable counterparts in nature, we found that signal processing in unicellular organisms and the homeostatic hormone control in multicellular organisms provide a good model for such an open-ended system. To allow evolutionary computation operators to act on the configuration of such robotic organisms, the parametrization of the underlying dynamical system was encoded into a data-structure called ‘genome’ of the organism, which is subject to selection, mutation and inheritance.

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