Title
Evolving Aggregation Behaviors in a Swarm of Robots
Abstract
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 Trianni177851.87
Roderich Groß277360.37
thomas halva labella31309.32
Erol Sahin457136.27
philippe rasse5402.03
Jean-Louis Deneubourg651042.45
Marco Dorigo7140311211.61
Wolfgang Banzhaf82627367.13
thomas christaller9350105.69
c dittrich10402.03
jan t kim11402.03
johannes c ziegler12402.03