RAMI competition aims at addressing Inspection and Maintenance (I&M) tasks achieved by aerial and underwater robots, since they are involved in the most promising applications in this sector due to the risks and costs associated with works at height or underwater inspections performed by human operators.
Since underwater and aerial domains are very different, both domains are evaluated separately in two different tracks. RAMI competitions for aerial robots aim to test the skills of the proposed robotic solutions in tasks such as precise autonomous navigation and automatic defect detection with advanced AI algorithms, while operating in a GNSS-denied environment.
Pérez-Grau, F. J., León, P., & Viguria, A. (2023). Lowering the Entry Barrier to Aerial Robotics Competitions. International Conference on Unmanned Aircraft Systems (ICUAS). ACCEPTED FOR PUBLICATION
This repository links with the data from the aforementioned publication. The datasets of the proposed benchmarks are available for download, together with instructions on how to participate in the competition, and how to work with the Docker image that is also provided. For convenience, the Docker image also contains the dataset folders.
Datasets: Google Drive
If you use this data for any academic work, please cite our original paper: https://ieeexplore.ieee.org/document/10156284
@INPROCEEDINGS{10156284,
author={Pérez-Grau, Francisco J. and Barriga, Pablo León and Viguria, Antidio},
booktitle={2023 International Conference on Unmanned Aircraft Systems (ICUAS)},
title={Lowering the Entry Barrier to Aerial Robotics Competitions},
year={2023},
volume={},
number={},
pages={487-492},
doi={10.1109/ICUAS57906.2023.10156284}}This work has been performed within the context of METRICS project, funded by the European Commission under contract 871252.