Interactive Surface for Bio-inspired Robotics, Re-examining Foraging Models

Olivier Simonin 1 Thomas Huraux 1 François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we propose a new experimental device for defining and studying self-organized systems, especially those including physical or chemical interactions such as those encountered in collective natural phenomena. We want to be able to reproduce with real robots several paradigms such as stigmergy. In these phenomena the environment stores, diffuses, evaporates chemical substances (pheromones) that drive the behavior of each entity. The proposed device is a smart surface which relies on a graphical environment on top of which robots can move but also read/write information thanks colorimetric sensors and infrared emitters. The surface itself is able to perform some computation, implementing e.g. diffusion/evaporation mechanisms. More generally, the proposed robotic system allows to re-examine theoretical/simulated models in the perspective of defining self-organized robots. We consider in this paper the foraging problem as a case study. In particular we re-examine the expression of the model proposed by Drogoul&Ferber to implement pheromonebased exploration and transport with robots. We then analyze self-organized behaviors, as emergence of chains of robots, and their robustness.
Type de document :
Communication dans un congrès
23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2011, Boca Raton, United States. IEEE, 2011
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https://hal.inria.fr/inria-00617155
Contributeur : Olivier Simonin <>
Soumis le : vendredi 26 août 2011 - 12:04:07
Dernière modification le : jeudi 11 janvier 2018 - 06:19:50

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  • HAL Id : inria-00617155, version 1

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Olivier Simonin, Thomas Huraux, François Charpillet. Interactive Surface for Bio-inspired Robotics, Re-examining Foraging Models. 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2011, Boca Raton, United States. IEEE, 2011. 〈inria-00617155〉

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