NYC-GC

该数据集用于评估机器人导航策略，特别是在密集环境下的应用。它能够清晰地展示在密集人群场景中，G-GCNRL和SARL导航路径的差异及时效性对比。该数据集所涉及的范围是单一环境场景，具体的任务是机器人人群中的导航。

This dataset is designed for evaluating robotic navigation strategies, particularly for applications in dense environments. It clearly demonstrates the differences and timeliness comparison between the navigation paths generated by G-GCNRL and SARL in dense crowd scenarios. The scope of this dataset is limited to a single environmental scenario, and its specific task is robotic navigation within crowds.