Human-Robot Spatial Interaction Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://lcastri.github.io/roscausal
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资源简介：
该数据集是在实验室环境下收集的人类与机器人空间互动数据，旨在评估ROS-Causal框架的性能和有效性。数据包含了Velodyne VLP-16 3D激光雷达的点云读数，在受控条件下捕捉了机器人和参与者的移动情况。该数据集涉及15名参与者与TIAGo机器人进行互动，其任务是探索人类-机器人互动中的因果关系。
This dataset comprises human-robot spatial interaction data collected in a controlled laboratory setting, and is developed to evaluate the performance and effectiveness of the ROS-Causal framework. It includes point cloud readings acquired via a Velodyne VLP-16 3D LiDAR, which captures the motion trajectories of both the TIAGo robot and participating human subjects under controlled experimental conditions. A total of 15 participants engaged in interactions with the TIAGo robot for this dataset, which is designed to explore causal relationships within human-robot interaction scenarios.
提供机构：
Research team from the respective lab
