CRI-Linear
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/vita-epfl/CrowdNav
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资源简介：
该数据集使用了CRI-Linear模拟环境来控制代理（被视为人类）在圆形穿越场景中的行为，场景中随机放置了5个（N=5）人类在一个半径为4.5米的圆上。该数据集评估了包括成功率、导航时间、轨迹长度以及移动平滑度在内的多种社交导航指标。在500个随机测试案例中进行了评估。该任务旨在研究机器人如何在拥挤环境中进行导航。
This dataset employs the CRI-Linear simulation environment to control the behavior of agents (treated as humans) in a circular crossing scenario, where 5 humans (N=5) are randomly placed on a circle with a radius of 4.5 meters. This dataset evaluates multiple social navigation metrics, including success rate, navigation time, trajectory length, and movement smoothness. Evaluations are conducted across 500 random test cases. This task aims to investigate how robots navigate in crowded environments.
提供机构：
vita-epfl
