During the month of March 2021, the RAMI dry-run campaign has been carried out. The dry-run campaign has allowed the validation of the evaluation procedure defined in the RAMI Evaluation Plan.
1st RAMI cascade campaign for aerial robots
RAMI competition for aerial robots, to be held in conjunction with IROS 2021. The competition will take place fully virtually using data generated during previous RAMI campaigns. The competition is open to everyone all around the world and is led by CATEC (Advanced Center for Aerospace Technologies, Seville, Spain), one of the reference research centres in Europe devoted to aerial robotic technologies.
1st RAMI Physical Campaign for Marine Robots 2022
The first Robotics for Asset Maintenance and Inspection (RAMI) Marine Robots competition was held at the NATO STO Centre for Maritime Research and Experimentation (CMRE) in La Spezia, Italy, 10 ‒ 15 July 2022. The competition did challenge the Autonomous Underwater Vehicles (AUVs) of participant teams to accomplish Inspection & Maintenance tasks set in the CMRE protected seawater basin. AUVs required perception, manipulation, adaptive mission planning and autonomous navigation skills to be successful.
1st RAMI Cascade Campaign for Marine Robots
The first edition of METRICS RAMI Cascade Evaluation Campaign for Marine Robots. This competition will take place fully virtually using data generated during previous RAMI campaigns. The competition is open to everyone all around the world and is led by NATO STO CMRE (Centre for Maritime Research and Experimentation, La Spezia, Italy), one of the reference research centres in Europe devoted to marine robotics technologies.
1st RAMI Field Campaign for Aerial Robots
The first Field Campaign for Aerial Robots of the RAMI (Robotics for Asset Maintenance and Inspection) Competition will be held at the Advanced Center for Aerospace Technologies (CATEC) in Seville, Spain, in October 3-7, 2022. 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.