As labor shortage increases in the health sector, the demand for assistive robotics grows. However, the needed test data to develop those robots is scarce, especially for the application of active 3D object detection, where no real data exists at all. This short paper counters this by introducing such an annotated dataset of real environments. The captured environments represent areas which are already in use in the field of robotic health care research. We further provide ground truth data within one room, for assessing SLAM algorithms running directly on a health care robot.

翻译：随着医疗行业劳动力短缺问题的加剧，辅助机器人的需求日益增长。然而，用于开发此类机器人所需的测试数据十分匮乏，特别是在主动三维目标检测这一应用领域，目前尚无任何真实数据集。本短文通过引入一个经过标注的真实环境数据集来应对这一挑战。所采集的环境代表了机器人医疗护理研究领域已实际应用的空间。此外，我们还在一个房间内提供了真实标注数据，用于评估直接在医疗护理机器人上运行的SLAM算法。