Abstract | ||
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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 impor- tance since it is the prerequisite for other forms of cooperation that in- volve 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 in- teractions among s-bots and between s-bots and the environment, is able to produce simple but general solutions to the aggregation problem. |
Year | DOI | Venue |
---|---|---|
2003 | 10.1007/978-3-540-39432-7_93 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
artificial evolution,biological systems,control system,self organization | Particle swarm optimization,Aggregation problem,Evolutionary algorithm,Swarm behaviour,Computer science,Swarm intelligence,Self-organization,Artificial intelligence,Mobile robot,Distributed computing,Swarm robotics | Conference |
Citations | PageRank | References |
40 | 2.03 | 7 |
Authors | ||
12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vito Trianni | 1 | 778 | 51.87 |
Roderich Groß | 2 | 773 | 60.37 |
thomas halva labella | 3 | 130 | 9.32 |
Erol Sahin | 4 | 571 | 36.27 |
philippe rasse | 5 | 40 | 2.03 |
Jean-Louis Deneubourg | 6 | 510 | 42.45 |
Marco Dorigo | 7 | 14031 | 1211.61 |
Wolfgang Banzhaf | 8 | 2627 | 367.13 |
thomas christaller | 9 | 350 | 105.69 |
c dittrich | 10 | 40 | 2.03 |
jan t kim | 11 | 40 | 2.03 |
johannes c ziegler | 12 | 40 | 2.03 |