CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.
Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.
Leistungen
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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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 (öffnet in neuem Fenster)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)
Veröffentlichungen
Autoren:
T. Sântejudean, Ş. Ungur, R. Herzal, I.-C. Morărescu, V.S. Varma, L. Buşoniu
Veröffentlicht in:
Nonlinear Analysis: Hybrid Systems, Ausgabe 55, 2025, ISSN 1751-570X
Herausgeber:
Elsevier BV
DOI:
10.1016/J.NAHS.2024.101546
Autoren:
Bilal Yousuf, Radu Herzal, Zsófia Lendek, Lucian Buşoniu
Veröffentlicht in:
Control Engineering Practice, Ausgabe 153, 2024, ISSN 0967-0661
Herausgeber:
Elsevier BV
DOI:
10.1016/J.CONENGPRAC.2024.106094
Autoren:
Tudor Sântejudean, Maria Ceapă, Radu Herzal, Elvin Pop, Vineeth Satheeskumar Varma, Irinel-Constantin Morărescu, Lucian Buşoniu
Veröffentlicht in:
Control Engineering Practice, Ausgabe 164, 2025, ISSN 0967-0661
Herausgeber:
Elsevier BV
DOI:
10.1016/J.CONENGPRAC.2025.106495
Autoren:
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
Veröffentlicht in:
Engineering Applications of Artificial Intelligence, Ausgabe 170, 2026, ISSN 0952-1976
Herausgeber:
Elsevier BV
DOI:
10.1016/J.ENGAPPAI.2026.114094
Autoren:
Gianpietro Battocletti, Dimitris Boskos, Domagoj Tolić, Ivana Palunko, Bart de Schutter
Veröffentlicht in:
IEEE Access, Ausgabe 12, 2024, ISSN 2169-3536
Herausgeber:
Institute of Electrical and Electronics Engineers (IEEE)
DOI:
10.1109/ACCESS.2024.3507217
Autoren:
Vicko Prkačin; Ivana Palunko; Ivan Petrović
Veröffentlicht in:
Control Engineering Practice, 2025, ISSN 1873-6939
Herausgeber:
Elsevier
DOI:
10.1016/J.CONENGPRAC.2025.106346
Autoren:
Matthias ROSYNSKI, Lucian BUSONIU
Veröffentlicht in:
Romanian Journal of Information Science and Technology, Ausgabe 29, 2026, ISSN 1453-8245
Herausgeber:
Editura Academiei Romane
DOI:
10.59277/ROMJIST.2026.1.02
Autoren:
Antun Đuraš, Ben J. Wolf, Athina Ilioudi, Ivana Palunko, Bart De Schutter
Veröffentlicht in:
Scientific Data, Ausgabe 11, 2024, ISSN 2052-4463
Herausgeber:
Springer Science and Business Media LLC
DOI:
10.1038/S41597-024-03759-2
Autoren:
Tzu-Yuan Huang; Sihua Zhang; Xiaobing Dai; Alexandre Capone; Velimir Todorovski; Stefan Sosnowski; Sandra Hirche
Veröffentlicht in:
IEEE Control Systems Letters, 2024, ISSN 2475-1456
Herausgeber:
IEEE
DOI:
10.48550/ARXIV.2403.08054
Autoren:
Ioana Lal; Irinel-Constantin Morărescu; Jamal Daafouz; Lucian Buşoniu
Veröffentlicht in:
IEEE Control Systems Letters, 2023, ISSN 0415-4576
Herausgeber:
HAL Open Science
DOI:
10.48550/arxiv.2305.08760
Autoren:
Jerome Weston; Domagoj Tolic; Ivana Palunko
Veröffentlicht in:
Journal of Optimization Theory and Applications, 2024, ISSN 1573-2878
Herausgeber:
Springer
DOI:
10.1007/S10957-023-02364-4
Autoren:
Yuki Origane, Nicolas Hoischen, Tzu-Yuan Huang, Daisuke Kurabayashi, Stefan Sosnowski, Sandra Hirche
Veröffentlicht in:
IFAC-PapersOnLine, Ausgabe 59, 2025, ISSN 2405-8963
Herausgeber:
Elsevier BV
DOI:
10.1016/J.IFACOL.2025.11.657
Autoren:
Tudor Alinei-Poiana, David Rete, Davian Martinovici, Vicu-Mihalis Maer, Lucian Busoniu
Veröffentlicht in:
15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024, ISSN 2331-8422
Herausgeber:
IFAC CAMS 2024
DOI:
10.48550/arxiv.2305.08760
Autoren:
Mathieu Granzotto, Romain Postoyan, Dragan Nešić, Jamal Daafouz, Lucian Buşoniu
Veröffentlicht in:
2025 IEEE 64th Conference on Decision and Control (CDC), 2025
Herausgeber:
IEEE
DOI:
10.1109/CDC57313.2025.11312761
Autoren:
Tzu-Yuan Huang; Armin Lederer; Nicolas Hoischen; Jan Brüdigam; Xuehua Xiao; Stefan Sosnowski; Sandra Hirche
Veröffentlicht in:
7th Annual Learning for Dynamics \& Control Conference, 2025
Herausgeber:
Proceedings of Machine Learning Research
DOI:
10.48550/ARXIV.2412.08278
Autoren:
Petar Bevanda; Nicolas Hoischen; Tobias Wittmann; Jan Brüdigam; Sandra Hirche; Boris Houska
Veröffentlicht in:
7th Annual Conference on Learning for Dynamics and Control, Ausgabe 283, 2025
Herausgeber:
Proceedings of Machine Learning Research
Autoren:
Nhan-Khanh Le; Erfaun Noorani; Sandra Hirche; John S. Baras
Veröffentlicht in:
2024 American Control Conference (ACC), 2024
Herausgeber:
IEEE
DOI:
10.48550/ARXIV.2403.10735
Autoren:
Jan Brüdigam, Ali-Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru, Stefan Sosnowski, Jiuguang Wang, Sandra Hirche, Simon Le Cleac'h
Veröffentlicht in:
8th Annual Conference on Robot Learning
Herausgeber:
https://openreview.net/pdf?id=vobaOY0qDl
DOI:
10.48550/ARXIV.2408.01258
Autoren:
Ilioudi, Athina; Wolf, Ben J.; Dabiri, Azita; De Schutter, Bart
Veröffentlicht in:
OCEANS 2023 - Limerick, 2023
Herausgeber:
-
DOI:
10.1109/OCEANSLIMERICK52467.2023.10244710
Autoren:
Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, Sandra Hirche
Veröffentlicht in:
2024 American Control Conference (ACC), 2024
Herausgeber:
IEEE
DOI:
10.23919/ACC60939.2024.10644832
Autoren:
Orthodoxou L. Demetra, Loizidou I. Xenia
Veröffentlicht in:
Proceedings of the 4th International Conference on Sustainable Chemical and Environmental Engineering, 2025
Herausgeber:
SUSTENG 2025
DOI:
10.5281/ZENODO.18753956
Autoren:
Tassos Natsakis
Veröffentlicht in:
2025
Herausgeber:
U.T. Press
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