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Towards the automatic design of automatic methods for the design of robot swarms - results and controllers
- Citation Author(s):
- Submitted by:
- Ken Hasselmann
- Last updated:
- Mon, 07/08/2024 - 15:59
- DOI:
- 10.21227/ngd1-mc72
- License:
- Categories:
- Keywords:
Abstract
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.
The instances of control software generated by Nata, Arlequin, Chocolate, and EvoStick, and the performances obtained both in simulation and on physical robots are available for download: Dataset.zip and Controllers.zip