On Self-Optimized Self-Assembling of Heterogeneous Multi-robot Organisms.

Abstract : This chapter is devoted to a bio-inspired self-assembling of heterogeneous robot modules into specific topological configurations. The approach involves several algorithmic inspirations from biological regulatory networks for achieving environmental dependability and considers constraint-based optimization techniques for finding optimal connections between heterogeneous modules. Scalability and locality of sensor information are addressed.
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Chapitre d'ouvrage
Meng, Yan and Jin, Yaochu. Bio-Inspired Self-Organizing Robotic Systems, 355, Springer, pp.123-141, 2011, Studies in Computational Intelligence, 978-3-642-20759-4. 〈10.1007/978-3-642-20760-0_6〉
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https://hal.inria.fr/hal-00907054
Contributeur : Benjamin Girault <>
Soumis le : mercredi 20 novembre 2013 - 17:07:56
Dernière modification le : jeudi 21 novembre 2013 - 12:36:05

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Serge Kernbach, Benjamin Girault, Olga Kernbach. On Self-Optimized Self-Assembling of Heterogeneous Multi-robot Organisms.. Meng, Yan and Jin, Yaochu. Bio-Inspired Self-Organizing Robotic Systems, 355, Springer, pp.123-141, 2011, Studies in Computational Intelligence, 978-3-642-20759-4. 〈10.1007/978-3-642-20760-0_6〉. 〈hal-00907054〉

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