automatic design of controllers
The files contain the results and control software associated with our research paper.
We address the problem of designing a modular method for the automatic design of robot swarms, which involves defining the modules that will be then automatically selected and assembled into an appropriate architecture (e.g., a finite-state machine or a behavior tree).
This data is associated with a paper in which we propose a method based on repertoires of neural networks automatically generated via a quality-diversity evolutionary algorithm.
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This dataset is a supplemental document fot the study '' Evolution of Controllers under a Generalized Structure Encoding/Decoding Scheme with Application to Magnetic Levitation System''.
Detailed simulation and experiment results are included in the dataset, as well as the source code programmed in Matlab.
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