DocumentCode
2650494
Title
Interactive Surface for Bio-inspired Robotics, Re-examining Foraging Models
Author
Simonin, Olivier ; Huraux, Thomas ; Charpillet, François
Author_Institution
LORIA Lab., Univ. Henri Poincare, Nancy, France
fYear
2011
fDate
7-9 Nov. 2011
Firstpage
361
Lastpage
368
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 pheromone-based exploration and transport with robots. We then analyze self-organized behaviors, as emergence of chains of robots, and their robustness.
Keywords
mobile robots; bio-inspired robotics; chemical substance; collective natural phenomena; colorimetric sensors; foraging models; foraging problem; infrared emitters; interactive surface; robotic system; self-organized behaviors; self-organized robots; self-organized system; smart surface; Collision avoidance; Color; Green products; Mobile robots; Robot sensing systems; Digital Pheromones; Experimental device; Foraging; Mobile robots; Self-organization; Swarm robotics;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Conference_Location
Boca Raton, FL
ISSN
1082-3409
Print_ISBN
978-1-4577-2068-0
Electronic_ISBN
1082-3409
Type
conf
DOI
10.1109/ICTAI.2011.60
Filename
6103350
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