NCA-generated Environments
收藏arXiv2025-09-30 收录
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https://github.com/lunjohnzhang/warehouse_env_gen_nca_public
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资源简介：
该数据集包含了由神经细胞自动机生成的环境，旨在评估多机器人系统在仓储和制造业领域的表现。这些环境被设计为在任意规模下都能保持一致的图案，从而提高了多代理系统的可扩展性。数据集提供了两种规模的环境：S和S_eval，测试中涉及多达2,350个机器人。其任务是对各种环境中的多机器人系统进行优化与评估。
This dataset comprises environments generated by neural cellular automata, intended to evaluate the performance of multi-robot systems in warehousing and manufacturing domains. These environments are designed to maintain consistent patterns across any scale, thereby enhancing the scalability of multi-agent systems. The dataset offers two environment scales: S and S_eval, with up to 2,350 robots participating in the associated tests. Its core task is to optimize and evaluate multi-robot systems across various environments.
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