Artificial Intelligence methods for Underwater target Tracking

Project Information

AIforUTracking

Grant agreement ID: 893089

DOI 10.3030/893089

Project closed

EC signature date 16 March 2020

Start date 1 March 2021

End date 30 September 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 226 801,76

EU contribution € 226 801,76

Coordinated by

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Spain

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (3)

Dynamic robotic tracking of underwater targets using reinforcement learning

Author(s): I. Masmitja, M. Martin, T. O’Reilly, B. Kieft, N. Palomeras, J. Navarro, K. Katija
Published in: Science Robotics, Issue 26/07/2023, 2023, Page(s) eade7811, ISSN 2470-9476
Publisher: American Association for the Advancement of Science
DOI: 10.1126/scirobotics.ade7811

Burrow emergence rhythms of deep-water Mediterranean Norway lobsters (Nephrops norvegicus) revealed by acoustic telemetry

Author(s): J. Aguzzi; M. Vigo; N. Bahamon; I. Masmitja; D. Chatzievangelou; N. J. Robinson; J. P. Jónasson; A. Sánchez-Márquez; J. Navarro; J. B. Company
Published in: Reviews in Fish Biology and Fisheries, Issue 26/05/2023, 2023, ISSN 0960-3166
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11160-023-09787-2

Spatial ecology of Norway lobster Nephrops norvegicus in Mediterranean deep-water environments: implications for designing no-take marine reserves

Author(s): Vigo M., Navarro J., Masmitja I., Aguzzi J., García JA., Rotllant G., Bahamón N., Company JB.
Published in: Marine Ecology Progress Series, Issue 16/09/2021, 2021, Page(s) 173-188, ISSN 0171-8630
Publisher: Inter-Research Science Publishing
DOI: 10.3354/meps13799

Conference proceedings (4)

Platform-portable reinforcement learning methods to localize underwater targets

Author(s): Ivan Masmitja, Mario Martin, Tom O'Reilly, Kakani Katija, Joan Navarro
Published in: Oceans MTS/IEEE proceedings, Issue 15/05/2023, 2023, ISBN 979-8-3503-3226-1
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/oceanslimerick52467.2023.10244488

A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles

Author(s): Ivan Masmitja, Mario Martin, Kakani Katija, Spartacus Gomariz, Joan Navarro
Published in: IEEE 18th International Conference on Automation Science and Engineering (CASE), Issue 28/10/2022, 2022, ISBN 978-1-4799-1515-6
Publisher: IEEE
DOI: 10.1109/case49997.2022.9926499

TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems

Author(s): Gallici M., Martin M., Masmitja I.
Published in: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, Issue 15/05/2023, 2023, Page(s) 1679–1687, ISBN 9781450394321
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
DOI: 10.48550/arxiv.2301.05334

Engineering a testbed for bidirectional acoustic tag development

Author(s): Gerrard Batet, Ivan Masmitja, David Sarria, Spartacus Gomariz, Joaquin Del Rio
Published in: OCEANS MTS/IEEE proceedings, Issue 15/05/2023, 2023, ISBN 979-8-3503-3226-1
Publisher: Engineering a testbed for bidirectional acoustic tag development
DOI: 10.1109/oceanslimerick52467.2023.10244649