Centro di Ricerca "Enrico Piaggio", and Dipartimento di Ingegneria dell'Informazione, Università di Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy.
Department of Agricultural, Food and Environmental Sciences, University of Perugia, Borgo XX giugno 74, I-06121, Perugia, Italy.
Sci Data. 2023 Jun 27;10(1):418. doi: 10.1038/s41597-023-02312-x.
Despite the remarkable growth of the global market for robotics, robotic monitoring of habitats is still an understudied topic. This is true, among others, for the species-rich EU Annex I habitat "6210 - Semi-natural grasslands and scrubland facies on calcareous substrates". This habitat is typically surveyed by human operators. In this work, we present a dataset concerning relevés performed through the quadrupedal robot ANYmal C. The dataset contains information from three plots, which include the robot state, videos, and images acquired to assess the habitat conservation status. Additionally, a collection of videos and pictures about two typical and one early warning species of habitat 6210 is also presented. This database is publicly available in the provided Zenodo repository and will aid researchers in several fields. Robot state information can be used by engineers to validate their algorithms, while data gathered by the robot can be used to design new methodologies and new metrics to assess the habitat conservation status or train/test classifiers (e.g. neural networks) for plant classification.
尽管全球机器人市场取得了显著增长,但机器人对栖息地的监测仍然是一个研究不足的话题。对于物种丰富的欧盟附件 I 栖息地“6210-钙质基质上的半自然草地和灌丛相”来说尤其如此。这种栖息地通常由人工操作员进行调查。在这项工作中,我们提出了一个关于通过四足机器人 ANYmal C 进行的 relevés 的数据集。该数据集包含来自三个地块的信息,包括机器人状态、视频和图像,这些信息是用于评估栖息地保护状况的。此外,还提供了两个典型和一个早期预警物种的栖息地 6210 的视频和图片集合。该数据库在提供的 Zenodo 存储库中公开可用,并将有助于多个领域的研究人员。机器人状态信息可被工程师用于验证他们的算法,而机器人收集的数据可用于设计新的方法和新的指标来评估栖息地的保护状况,或训练/测试分类器(例如神经网络)进行植物分类。