Paper Info
Title
Reverse-engineering of artificially evolved controllers for swarms of robots
Abstract
It is generally challenging to design decentralized controllers for swarms of robots because there is often no obvious relation between the individual robot behaviors and the final behavior of the swarm. As a solution, we use artificial evolution to automatically discover neural controllers for swarming robots. Artificial evolution has the potential to find simple and efficient strategies which might otherwise have been overlooked by a human designer. However, evolved controllers are often unadapted when used in scenarios that differ even slightly from those encountered during the evolutionary process. By reverse-engineering evolved controllers we aim towards handdesigned controllers which capture the simplicity and efficiency of evolved neural controllers while being easy to optimize for a variety of scenarios.
Year
DOI
Venue
2009
10.1109/CEC.2009.4982930
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
individual robot behavior,neural controller,handdesigned controller,final behavior,evolutionary process,artificial evolution,obvious relation,human designer,decentralized controller,efficient strategy,robot control,laser radar,swarming,global positioning system,neural networks,swarm robotics,data mining,design methodology,trajectory,reverse engineering,automatic control,robots,sensors,probability density function,maintenance engineering
Evolutionary algorithm,Swarm behaviour,Control theory,Computer science,Control engineering,Artificial intelligence,Artificial neural network,Robot control,Evolutionary robotics,Reverse engineering,Robot,Machine learning,Maintenance engineering
Conference
Citations 
PageRank 
References 
7
0.57
16
Authors
3
Name
Order
Citations
PageRank
Sabine Hauert1918.20
Jean-Christophe Zufferey246746.55
Dario Floreano33400284.98