Evolving aggregation behaviors in a swarm of robots

Date

2003-01-01

Author

Trianni, V
Gross, R
Labella, TH
Şahin, Erol
Dorigo, M

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This work is licensed under a 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

Collections

Department of Computer Engineering, Article