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Results<\/h1>\n

2nd RAMI Cascade Campaign<\/h1>\n

for Marine Robots<\/h2>\n
The Second RAMI<\/span> Cascade Evaluation Campaign for marine robots has ended, it challenged the navigation and perception capabilities of participant teams by presenting them training datasets collected on scenarios similar those of physical campaigns.<\/p>\n
Based on these data, teams were required to develop their software and tune their algorithms, which were then evaluated on a test dataset composed as follows:<\/p>\n<\/div>\n<\/div><\/div>
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- 4 \u00a0Images showing colored buoys (2 Red, 2 White, 1 Yellow)<\/em><\/p>\n
- 3 Images showing Black numbers on yellow pipes<\/em><\/p>\n
- 4 Images showing Black numbers over a red background<\/em><\/p>\n
- 2 Images showing a Red marker over a yellow pipe<\/em><\/p>\n
- 3 Images showing manipulation console objects<\/em><\/p>\n
- 4 Images showing only tubes and water with no OPIs<\/em><\/p>\n<\/div>\n<\/div><\/div>
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The following 4 teams registered to the competition:<\/p>\n\n\n\n\n\n\n\n
Team name<\/strong><\/td>\n Institution\/Company<\/strong><\/td>\n Country<\/strong><\/td>\n<\/tr>\n
Aqua Squad<\/td>\n Virginia Tech<\/td>\n US<\/td>\n<\/tr>\n
Kadal-AI<\/td>\n Indian Institute of Science (IISc), Bangalore<\/td>\n IN<\/td>\n<\/tr>\n
OUBOT<\/td>\n Obuda University<\/td>\n HU<\/td>\n<\/tr>\n
Team ERGO - UNIPI<\/td>\n University of Pisa<\/td>\n IT<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
Every team submitted a Docker Image as a Docker Hub repository, which was evaluated following the rules described here<\/a><\/p>\n
Ranking<\/h3>\n
The competition was won by Team ERGO-UNIPI with the following results:<\/p>\n
Total:<\/strong><\/p>\n
\n
1st: Team ERGO-UNIPI with a score of 123\/149 (82.6%).<\/li>\n<\/ul>\n
The ranking for the different functionalities is:<\/strong><\/p>\n
Classification:<\/strong><\/p>\n
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1st: Team ERGO-UNIPI with a score of 51\/55 (92.7%).<\/li>\n<\/ul>\n
Identification:<\/strong><\/p>\n
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1st: Team ERGO-UNIPI with a score of 27\/43 (65.9%).<\/li>\n<\/ul>\n
Localisation:<\/strong><\/p>\n
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1st: Team ERGO-UNIPI with a score of 45\/51 (88.2%).<\/li>\n<\/ul>\n<\/div>\n<\/div><\/div><\/div>
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More information:<\/h3>\n
Check:<\/strong><\/p>\n
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RAMI\u2019s Evaluation Plan<\/a><\/li>\n
1st RAMI Cascade Campaign Description<\/a><\/li>\n
Docker installation guide and user manual<\/a><\/li>\n<\/ul>\n
<\/p>\n
Contact us<\/strong> at im(a)metricsproject.eu<\/a><\/p>\n<\/div>\n<\/div><\/div><\/div>
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Organising committee<\/h3>\n
Chair<\/strong><\/p>\n
Dr Gabriele Ferri (CMRE, Italy)<\/p>\n
Co-chairs<\/strong><\/p>\n
Alessandro Faggiani (CMRE, Italy)<\/p>\n
Dr Tommaso Fabbri (CMRE, Italy)<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"
Results 2nd RAMI Cascade Campaign for Marine Robots The Second RAMI Cascade Evaluation Campaign for marine robots has ended, it challenged the navigation and perception capabilities of participant teams by presenting them training datasets collected on scenarios similar those of physical campaigns. Based on these data, teams were required to develop their software and tune […]<\/p>\n","protected":false},"author":4,"featured_media":1930,"parent":95,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/inspection-page.php","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/pages\/3397"}],"collection":[{"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/comments?post=3397"}],"version-history":[{"count":4,"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/pages\/3397\/revisions"}],"predecessor-version":[{"id":3401,"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/pages\/3397\/revisions\/3401"}],"up":[{"embeddable":true,"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/pages\/95"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/media\/1930"}],"wp:attachment":[{"href":"https:\/\/metricsproject.eu\/wp-json\/wp\/v2\/media?parent=3397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

Results<\/h1>\n

2nd RAMI Cascade Campaign<\/h1>\n