Evolving aggregation behaviors in a swarm of robots

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

Citation Formats
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.