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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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Contributor : Benjamin Girault Connect in order to contact the contributor
Submitted on : Wednesday, November 20, 2013 - 5:07:56 PM
Last modification on : Thursday, November 21, 2013 - 12:36:05 PM

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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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