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 .
Deliverables
This report defines the specifications of the planned demonstrations and closely defines the use cases for each demonstration area and pilot site for the full scale joint system operation as well as single component use. (<=T2.2)
Dissemination Resources (opens in new window)This report will contain the communication and dissemination resources that will be developed for the project, e.g. project logo and tagline, presentation and poster templates, project website, and social media accounts. (<=T6.2)
Sensory System Upgrade Report (opens in new window)This report will address the selection - after a set of unitary tests in real conditions - of new sensors such as high resolution 2D/3D sonars, multispectral cameras, electromagnetic and photogrammetry sensors; as well as pesticide/nutrient sensors that will be evaluated, purchased or rented, and integrated on the USV, the mapping ROV, the UAV, and the grapple. (<=T4.1)
IPR Strategy (opens in new window)This report will contain the IPR Strategy as agreed within the consortium in compliance with the GA and CA to be agreed on among the partners. (<=T10.2)
Innovation and Risk Management Report (opens in new window)The Innovation and risk management report will describe the activities and monitoring of the achievements to control the scientific quality of the results. (<=T1.3)
Marine Litter Occurrence Domains Report (opens in new window)This report focuses on the litter occurrence in regard to specific environments such as highly frequented touristic regions, industrial ports, fishery and aqua cultural sites as well as protected natural areas. Elaborating those specifics will shape and define further data acquisition measures and help to train the AI responsible for decision making process in litter collection, and distinguishing on marine wild life and waste fractions. (<=T2.1)
Communication, Dissemination and Stakeholder Engagement Strategy and Plan (opens in new window)A Communication, Dissemination and Stakeholder Engagement Strategy and Plan (CDSEP) will be developed to ensure the project maximises its outreach to and impact on wider society and targeted audiences. Specific KPIs will be developed and regularly monitored (every 6 months) to ensure the CDSEP's effectiveness. The CDSEP will be continuously monitored and updated when relevant. (<=T6.1)
The Data Management Plan (DMP) will describe how the technical and business data and knowledge that will be created within SeaClear2.0 will be handled, stored, and made accessible. In the DMP the partners also agree upon the specific data that cannot be openly accessible (e.g. due to IP protection, confidential data of participating industries/end-users), etc. The DMP will be updated yearly if relevant. (<=T1.5)
Analysis of the critical features of maximising robotic system usage at broader scale. Pin-pointing areas that current demonstration and pilot sites do not provide validation of some of the critical points identified. Creation of tasks for showcasing the suitability of SeaClear2.0 system in areas that are not yet foreseen in current tests and demonstrations. This task will take results from WP2 task 2.1 and 2.2 into account. (<=T7.2)
SeaClear2.0 Product and Service Sheet (opens in new window)Based on T2.1 and T2.2 findings, a specification will be composed of the requirements for both hardware and software developments in regard to system capabilities (payload, depth, storage capability, speed, endurance, range, data speed, etc.), mechanical and electrical interfaces of system components, inter-robot communication structure and data collection, refining and distribution as well as integration requirements. (<=T2.3)
Marine Litter Dataset (opens in new window)Creating a database of marine litter by gathering information from marine scientific reports and field studies, categorizing waste fractions by properties such as size, material, weight, solidity, location in the designated demonstration areas. (<=T2.4)
Publications
Author(s):
T. Sântejudean, Ş. Ungur, R. Herzal, I.-C. Morărescu, V.S. Varma, L. Buşoniu
Published in:
Nonlinear Analysis: Hybrid Systems, Issue 55, 2025, ISSN 1751-570X
Publisher:
Elsevier BV
DOI:
10.1016/J.NAHS.2024.101546
Author(s):
Bilal Yousuf, Radu Herzal, Zsófia Lendek, Lucian Buşoniu
Published in:
Control Engineering Practice, Issue 153, 2024, ISSN 0967-0661
Publisher:
Elsevier BV
DOI:
10.1016/J.CONENGPRAC.2024.106094
Author(s):
Tudor Sântejudean, Maria Ceapă, Radu Herzal, Elvin Pop, Vineeth Satheeskumar Varma, Irinel-Constantin Morărescu, Lucian Buşoniu
Published in:
Control Engineering Practice, Issue 164, 2025, ISSN 0967-0661
Publisher:
Elsevier BV
DOI:
10.1016/J.CONENGPRAC.2025.106495
Author(s):
Athina Ilioudi, Stefan Sosnowski, Elisabeth Banken, Petar Bevanda, Jan Brüdigam, Lucian Buşoniu, Yves Chardard, Cosmin Delea, Bart De Schutter, Antun Đuraš, Claudia Hertel-ten Eikelder, Shahab Heshmati-Alamdari, Vicu-Mihalis Maer, Ivana Palunko, Iva Pozniak, Vicko Prkačin, Domagoj Tolić
Published in:
Engineering Applications of Artificial Intelligence, Issue 170, 2026, ISSN 0952-1976
Publisher:
Elsevier BV
DOI:
10.1016/J.ENGAPPAI.2026.114094
Author(s):
Gianpietro Battocletti, Dimitris Boskos, Domagoj Tolić, Ivana Palunko, Bart de Schutter
Published in:
IEEE Access, Issue 12, 2024, ISSN 2169-3536
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
DOI:
10.1109/ACCESS.2024.3507217
Author(s):
Vicko Prkačin; Ivana Palunko; Ivan Petrović
Published in:
Control Engineering Practice, 2025, ISSN 1873-6939
Publisher:
Elsevier
DOI:
10.1016/J.CONENGPRAC.2025.106346
Author(s):
Matthias ROSYNSKI, Lucian BUSONIU
Published in:
Romanian Journal of Information Science and Technology, Issue 29, 2026, ISSN 1453-8245
Publisher:
Editura Academiei Romane
DOI:
10.59277/ROMJIST.2026.1.02
Author(s):
Antun Đuraš, Ben J. Wolf, Athina Ilioudi, Ivana Palunko, Bart De Schutter
Published in:
Scientific Data, Issue 11, 2024, ISSN 2052-4463
Publisher:
Springer Science and Business Media LLC
DOI:
10.1038/S41597-024-03759-2
Author(s):
Tzu-Yuan Huang; Sihua Zhang; Xiaobing Dai; Alexandre Capone; Velimir Todorovski; Stefan Sosnowski; Sandra Hirche
Published in:
IEEE Control Systems Letters, 2024, ISSN 2475-1456
Publisher:
IEEE
DOI:
10.48550/ARXIV.2403.08054
Author(s):
Ioana Lal; Irinel-Constantin Morărescu; Jamal Daafouz; Lucian Buşoniu
Published in:
IEEE Control Systems Letters, 2023, ISSN 0415-4576
Publisher:
HAL Open Science
DOI:
10.48550/arxiv.2305.08760
Author(s):
Jerome Weston; Domagoj Tolic; Ivana Palunko
Published in:
Journal of Optimization Theory and Applications, 2024, ISSN 1573-2878
Publisher:
Springer
DOI:
10.1007/S10957-023-02364-4
Author(s):
Yuki Origane, Nicolas Hoischen, Tzu-Yuan Huang, Daisuke Kurabayashi, Stefan Sosnowski, Sandra Hirche
Published in:
IFAC-PapersOnLine, Issue 59, 2025, ISSN 2405-8963
Publisher:
Elsevier BV
DOI:
10.1016/J.IFACOL.2025.11.657
Author(s):
Tudor Alinei-Poiana, David Rete, Davian Martinovici, Vicu-Mihalis Maer, Lucian Busoniu
Published in:
15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024, ISSN 2331-8422
Publisher:
IFAC CAMS 2024
DOI:
10.48550/arxiv.2305.08760
Author(s):
Mathieu Granzotto, Romain Postoyan, Dragan Nešić, Jamal Daafouz, Lucian Buşoniu
Published in:
2025 IEEE 64th Conference on Decision and Control (CDC), 2025
Publisher:
IEEE
DOI:
10.1109/CDC57313.2025.11312761
Author(s):
Tzu-Yuan Huang; Armin Lederer; Nicolas Hoischen; Jan Brüdigam; Xuehua Xiao; Stefan Sosnowski; Sandra Hirche
Published in:
7th Annual Learning for Dynamics \& Control Conference, 2025
Publisher:
Proceedings of Machine Learning Research
DOI:
10.48550/ARXIV.2412.08278
Author(s):
Petar Bevanda; Nicolas Hoischen; Tobias Wittmann; Jan Brüdigam; Sandra Hirche; Boris Houska
Published in:
7th Annual Conference on Learning for Dynamics and Control, Issue 283, 2025
Publisher:
Proceedings of Machine Learning Research
Author(s):
Nhan-Khanh Le; Erfaun Noorani; Sandra Hirche; John S. Baras
Published in:
2024 American Control Conference (ACC), 2024
Publisher:
IEEE
DOI:
10.48550/ARXIV.2403.10735
Author(s):
Jan Brüdigam, Ali-Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru, Stefan Sosnowski, Jiuguang Wang, Sandra Hirche, Simon Le Cleac'h
Published in:
8th Annual Conference on Robot Learning
Publisher:
https://openreview.net/pdf?id=vobaOY0qDl
DOI:
10.48550/ARXIV.2408.01258
Author(s):
Ilioudi, Athina; Wolf, Ben J.; Dabiri, Azita; De Schutter, Bart
Published in:
OCEANS 2023 - Limerick, 2023
Publisher:
-
DOI:
10.1109/OCEANSLIMERICK52467.2023.10244710
Author(s):
Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, Sandra Hirche
Published in:
2024 American Control Conference (ACC), 2024
Publisher:
IEEE
DOI:
10.23919/ACC60939.2024.10644832
Author(s):
Orthodoxou L. Demetra, Loizidou I. Xenia
Published in:
Proceedings of the 4th International Conference on Sustainable Chemical and Environmental Engineering, 2025
Publisher:
SUSTENG 2025
DOI:
10.5281/ZENODO.18753956
Author(s):
Tassos Natsakis
Published in:
2025
Publisher:
U.T. Press
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