Handover Failure Detection (HFD) dataset
收藏arXiv2024-02-28 更新2024-06-21 收录
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https://sthoduka.github.io/handover_failure_detection
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资源简介：
Handover Failure Detection (HFD)数据集由波恩-莱茵-锡格应用技术大学创建，专注于机器人与人类之间物体交接失败的检测。该数据集包含589个试验，涉及两种机器人和17名参与者，涵盖视频、机器人关节状态和力矩传感器读数等多种模态数据。数据集旨在为机器人提供监控能力，以便及时反应失败情况，特别关注由人类参与者引起的不可预防的失败。
The Handover Failure Detection (HFD) dataset was created by Bonn-Rhein-Sieg University of Applied Sciences, focusing on detecting object handover failures between robots and humans. This dataset contains 589 trials involving two types of robots and 17 participants, covering multiple data modalities including videos, robot joint states, and torque sensor readings. The dataset is designed to equip robots with monitoring capabilities to timely respond to failure scenarios, with a particular focus on unpreventable failures caused by human participants.
提供机构：
波恩-莱茵-锡格应用技术大学
创建时间：
2024-02-28
