Evolving Aggregation Behaviors in a Swarm of Robots
Trianni Vito, Groß Roderich, Labella Thomas Halva, Sahin Erol, Dorigo Marco


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.

Swarm-bots project started
on October 1,2001
The project terminated
on March 31, 2005.
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Fri, 27 Jun 2014 11:26:47 +0200
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