1st RAMI Field Campaign<\/h1>\nfor Aerial Robots<\/h2>\n
It is our pleasure to announce the first Field Campaign for Aerial Robots of the RAMI (Robotics for Asset Maintenance and Inspection) Competition, that will be held at the Advanced Center for Aerospace Technologies (CATEC) in Seville, Spain, in October 17-21, 2022.<\/strong><\/p>\n This competition aims to test the skills of the proposed aerial robotic solutions in tasks such as precise autonomous navigation, and automatic defect detection with advanced AI algorithms, while operating in a GNSS-denied environment.<\/p>\n The RAMI competition is organized in the framework of the METRICS project (Metrological Evaluation and Testing of Robots in International Competitions) and aims at addressing Inspection & Maintenance tasks achieved by aerial and underwater robots in risky and\/or hostile environments where human intervention is challenging or impossible, where direct link with an operator could not be guaranteed and where autonomous decisions are necessary to reduce operational time of the inspection tasks and ensure repeatability while maintaining an appropriate safety level for the mission. The evaluation process of RAMI competitions mainly involves tasks related to autonomous navigation, data acquisition, detection, classification and autonomous decision-making for inspection purposes. Since aerial and underwater domains are very different, both domains will be evaluated separately in two different tracks.<\/p>\n This first RAMI Field Campaign for Aerial Robots is organised on the basis of the first Cascade Campaign<\/a> held at IROS 2021, where teams proposed different algorithms for automatic crack detection with AI, and sensor fusion for precise robot localization without GNSS. This competition established a perfect starting point for developing aerial robotic solutions to solve the proposed challenges. More info about this can be found on the Cascade Campaign page<\/a>, as well as sample real data from CATEC\u2019s indoor testbed via a Docker image.<\/p>\n<\/div>\n<\/div><\/div>![\"\"](\"https:\/\/metricsproject.eu\/wp-content\/uploads\/2022\/04\/DSC00815-scaled.jpg\")
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