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Evolving aggregation behaviors in a swarm of robots
Date
2003-01-01
Author
Trianni, V
Gross, R
Labella, TH
Şahin, Erol
Dorigo, M
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this paper, we study aggregation in a swarm of simple robots, called s-bots, having the capability to self-organize and self-assemble to form a robotic system, called a swarm-bot. The aggregation process, observed in many biological systems, is of fundamental importance since it is the prerequisite for other forms of cooperation that involve self-organization and self-assembling. We consider the problem of defining the control system for the swarm-bot using artificial evolution. The results obtained in a simulated 3D environment are presented and analyzed. They show that artificial evolution, exploiting the complex interactions among s-bots and between s-bots and the environment, is able to produce simple but general solutions to the aggregation problem.
Subject Keywords
Group Size
,
Mobile Robot
,
Swarm Intelligence
,
Dictyostelium Discoideum
,
Neural Controller
URI
https://hdl.handle.net/11511/55654
Journal
ADVANCES IN ARTIFICIAL LIFE, PROCEEDINGS
Collections
Department of Computer Engineering, Article
Citation Formats
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BibTeX
V. Trianni, R. Gross, T. Labella, E. Şahin, and M. Dorigo, “Evolving aggregation behaviors in a swarm of robots,”
ADVANCES IN ARTIFICIAL LIFE, PROCEEDINGS
, vol. 2801, pp. 865–874, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55654.