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Towards the automatic design of automatic methods for the design of robot swarms - results and controllers

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IEEE2026-04-17 收录
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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.

本数据集文件包含与本研究论文相关的实验结果与控制软件。本研究聚焦于机器人群体(robot swarms)自动设计的模块化方法构建问题,该方法需先定义基础模块,后续可自动遴选并组装为适配的架构,例如有限状态机(finite-state machine)或行为树(behavior tree)。本数据集关联的研究论文提出了一种基于神经网络库的方法,该库由质量多样性进化算法(quality-diversity evolutionary algorithm)自动生成。

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