Towards Excellent Robotics and Artificial Intelligence at a Slovak university

Projektinformationen

TERAIS

ID Finanzhilfevereinbarung: 101079338

DOI

10.3030/101079338

Projekt abgeschlossen

EK-Unterschriftsdatum 14 Juli 2022

Startdatum 1 Oktober 2022

Enddatum 30 September 2025

Finanziert unter

• Widening participation and spreading excellence

Gesamtkosten

€ 1 578 793,75

EU-Beitrag

€ 1 499 890,00

Koordiniert durch

UNIVERZITA KOMENSKEHO V BRATISLAVE
Slovakia

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

Ethics Requirements (3)

OEI - Requirement No. 2

First report of the Ethics Advisor

OEI - Requirement No. 3

Second report of the Ethics Advisor

OEI - Requirement No. 1

The absence of a clear description of the methodology to be used in WP3 and the lack of clarity regarding human participation in research and of the data management requires the appointment of an Ethics Advisor.Artificial intelligenceWP3 will experiment Human Robot Interactions (HRI). Even though AI issues are identified in the Ethics table (Part A), WP3 description fails in considering properly the ethical issues leading to the use of these robots. There is no description of the methodology, therefore it is unclear how human participants will be involved in the research and how the ethical dimensions of their participation will be handled. Applicants have attached a statement regarding ethics in Annex1 of the project. However, it is unclear and unspecified how this statement will apply to the research and communication activities. This lack of methodological description on human participation raised specific ethical concerns that should be clarified.Personal dataEven though identified as an ethical issue, the data management of training, conference activities and research activities are not addressed. The data management plan is only stated in a vague manner and does not reflect the whole issues related to the management of personal data processing and technical safeguards that must be put in place to ensure that privacy and confidentiality will be ensured.The independent Ethics Advisor should be appointed at the beginning of the project. It should ensure that all the necessary authorisations and approvals are in place prior the commencement of the research to be conducted in WP3. The Advisor should report at M6 and M17.

Documents, reports (9)

Reports on achieving impact through dissemination and communication

Reports on achieving impact through dissemination and communication, to be delivered in M17 and M36.

Reports on joint research activities

Reports on joint research activities, to be delivered in M14 and M28.

Data management plan

Data management plan will be developed and constantly updated within the Management Work Package (WP6). Sensitive data will be marked by the level of confidentiality and also checked against any non-disclosure agreement. All produced data will be managed in line with the FAIR principles. The DMP will address the points below and will document the current status of reflection within the consortium about the data that will be produced and protected:Data set reference and name: Identifier for the data set to be produced;Data set description: origin, nature and scale and to whom it could be useful, and whether it underpins a scientific publication;Data sharing: Description of how data will be shared, including access procedures, embargo periods. In case a dataset cannot be shared, the reasons for this will be mentioned;Archiving and preservation (including storage and backup): Description of the procedures that will be put in place for long-term preservation of the data.

Detailed dissemination, exploitation and communication plan

The detailed plan will be prepared concerning all dissemination, exploitation and communication activities that have been proposed with the intention to maximize the impact of the TERAIS project on the key target groups - scientific community; prospective international students/research staff; prospective Slovak students/research staff; general public; business community; and funding actors. Overall communication will leverage comprehensive communication tools (above/below the line) to better correspond to the target group needs and the requirements of the communication objectives and key messages. Details are provided in Table 2.2a of the proposal.

Progress report (interim)

Progress reports (interim)

Detailed PM and QA Plan

Detailed Project Management and Quality Assurance Plan.

Reports on implementation of the Joint Research Strategy

Reports on implementation of the Joint Research Strategy, to be delivered in M16 and M28, It will contain steps and measures for joint involvement in EU project proposals, development of publications or presentations at scientific conferences from partners to the coordinating institution by organizing planned events.

Quality assurance reports

Quality assurance reports, to be delivered in M8, 13,18,25, 30

Reports on implementing the knowledge and skills transfer

Reports on implementing the knowledge and skills transfer, to be delivered in M12 and M28.

Veröffentlichungen

Conference proceedings (37)

Supersampling of Data from Structured-light Scanner with Deep Learning

Autoren: Martin Melicherčík, Lukáš Gajdošech, Viktor Kocur, Martin Madaras
Veröffentlicht in: 2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Herausgeber: IEEE
DOI: 10.48550/arXiv.2311.07432

Neural Field Conditioning Strategies for 2D Semantic Segmentation

Autoren: Martin Gromniak, Sven Magg, Stefan Wermter
Veröffentlicht in: Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Herausgeber: Springer Nature
DOI: 10.48550/arXiv.2304.14371

Clarifying the Half Full or Half Empty Question: Multimodal Container Classification

Autoren: Josua Spisak, Matthias Kerzel, Stefan Wermter
Veröffentlicht in: Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Herausgeber: Springer Nature
DOI: 10.48550/arXiv.2307.08471

Spike up Prime Interest in Science and Technology through Constructionist Games

Autoren: Pavel Petrovič, Fedir Agarshev
Veröffentlicht in: 15th International Conference on Education and New Learning Technologies Proceedings, 2023
Herausgeber: IATED
DOI: 10.48550/arXiv.2402.17243

Robust Self-Calibration of Focal Lengths from the Fundamental Matrix

Autoren: Viktor Kocur, Daniel Kyselica, Zuzana Kukelova
Veröffentlicht in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Ausgabe 25, 2024
Herausgeber: IEEE
DOI: 10.48550/arXiv.2311.16304

Using Programmable Drone in Educational Projects and Competitions

Autoren: Pavel Petrovič, Peter Verčimák
Veröffentlicht in: 15th International Conference on Education and New Learning Technologies Proceedings, 2023
Herausgeber: IATED
DOI: 10.48550/arXiv.2402.17409

Sketch it for the Robot! How Child-Like Robots' Joint Attention Affects Humans' Drawing Strategies

Autoren: Carlo Mazzola, Lorenzo Morocutti, Hillary Pedrizzi, Xenia Daniela Poslon, Andrej Lucny, Sarah Marie Wingert, Yukie Nagai, Francesco Rea, Alessandra Sciutti
Veröffentlicht in: 2024 IEEE International Conference on Development and Learning (ICDL), Ausgabe 4, 2024
Herausgeber: IEEE
DOI: 10.5281/zenodo.11189963

Tuning-less Object Naming with a Foundation Model

Autoren: Andrej Lucny, Pavel Petrovic
Veröffentlicht in: 2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Herausgeber: IEEE
DOI: 10.48550/arXiv.2311.04924

Comparing Apples to Oranges: LLM-Powered Multimodal Intention Prediction in an Object Categorization Task

Autoren: Hassan Ali, Philipp Allgeuer, Stefan Wermter
Veröffentlicht in: Lecture Notes in Computer Science, Social Robotics, 2025
Herausgeber: Springer
DOI: 10.48550/ARXIV.2404.08424

Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?

Autoren: Charalambos Tzamos, Viktor Kocur, Yaqing Ding, Torsten Sattler, Zuzana Kukelova
Veröffentlicht in: Lecture Notes in Computer Science, Computer Vision – ECCV 2024 Workshops, 2025
Herausgeber: Springer
DOI: 10.48550/ARXIV.2410.05984

Appearance-based gaze estimation enhanced with synthetic images using deep neural networks

Autoren: Dmytro Herashchenko, Igor Farkaš
Veröffentlicht in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023
Herausgeber: IEEE
DOI: 10.48550/arXiv.2311.14175

Learning Low-Level Causal Relations Using a Simulated Robotic Arm

Autoren: Miroslav Cibula; Matthias Kerzel; Igor Farkaš
Veröffentlicht in: International Conference on Artificial Neural Networks ICANN 2024, 2024
Herausgeber: Springer
DOI: 10.48550/ARXIV.2410.07751

When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration

Autoren: Philipp Allgeuer, Hassan Ali, Stefan Wermter
Veröffentlicht in: Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning – ICANN 2024, 2024
Herausgeber: Springer
DOI: 10.48550/ARXIV.2407.00518

Robotic Imitation of Human Actions

Autoren: Josua Spisak, Matthias Kerzel, Stefan Wermter
Veröffentlicht in: 2024 IEEE International Conference on Development and Learning (ICDL), 2024
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2401.08381

Merge, Explain, Iterate: A Combination of MHS and MXP in an ABox Abduction Solver

Autoren: Martin Homola, Júlia Pukancová, Janka Boborová, Iveta Balintová
Veröffentlicht in: Logics in Artificial Intelligence. JELIA 2023, 2023
Herausgeber: Springer
DOI: 10.5281/zenodo.10724508

RecViT: Enhancing Vision Transformer with Top-Down Information Flow

Autoren: Štefan Pócoš; Iveta Bečková; Igor Farkaš
Veröffentlicht in: Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2024
Herausgeber: scitepress
DOI: 10.5281/ZENODO.14766904

QuasiNet: A Neural Network with Trainable Product Layers

Autoren: Kristína Malinovská, Slavomír Holenda, Ľudovít Malinovský
Veröffentlicht in: Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Herausgeber: Springer Nature
DOI: 10.48550/arXiv.2401.06137

Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning

Autoren: Tomáš Kunzo, Viktor Kocur, Lukáš Gajdošech, Martin Madaras
Veröffentlicht in: 2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Herausgeber: IEEE
DOI: 10.48550/arXiv.2311.07398

Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization

Autoren: Peter Kravár, Lukáš Gajdošech. Martin Madaras
Veröffentlicht in: Artificial Neural Networks and Machine Learning -- ICANN 2023, 2023
Herausgeber: Springer Nature
DOI: 10.48550/arXiv.2305.05215

Real-time Addressee Estimation: Deployment of a Deep-Learning Model on the iCub Robot

Autoren: Carlo Mazzola, Francesco Rea, Alessandra Sciutti
Veröffentlicht in: 2023 I-RIM Conference, 2023, ISBN 978-88-945805-4-9
Herausgeber: I-RIM
DOI: 10.48550/arXiv.2311.05334

Controlling the Output of a Generative Model by Latent Feature Vector Shifting

Autoren: Belanec, Róbert; Lacko, Peter; Malinovská, Kristína
Veröffentlicht in: 2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Herausgeber: IEEE
DOI: 10.48550/arxiv.2311.08850

Open-Vocabulary Robotic Object Manipulation using Foundation Models

Autoren: Griebenow, Stig; Özdemir, Ozan; Weber, Cornelius; Wermter, Stefan
Veröffentlicht in: ESANN 2025 proceesdings, 2025
Herausgeber: i6doc
DOI: 10.5281/ZENODO.14774343

Three-view Focal Length Recovery From Homographies

Autoren: Yaqing Ding, Viktor Kocur, Zuzana Berger Haladová, Qianliang Wu, Shen Cai, Jian Yang, Zuzana Kukelova
Veröffentlicht in: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2501.07499

Replay to Remember: Continual Layer-Specific Fine-Tuning for German Speech Recognition

Autoren: Theresa Pekarek Rosin, Stefan Wermter
Veröffentlicht in: Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Herausgeber: Springer Nature
DOI: 10.1007/978-3-031-44195-0_40

Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation

Autoren: Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Lukáš Gajdošech, Stefan Wermter
Veröffentlicht in: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), 2024
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2407.13505

Towards Bio-inspired Robotic Trajectory Planning via Self-supervised RNN

Autoren: Miroslav Cibula, Kristína Malinovská, Matthias Kerzel
Veröffentlicht in: Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions, 2025
Herausgeber: Springer
DOI: 10.48550/ARXIV.2507.02171

Safe Reinforcement Learning in a Simulated Robotic Arm

Autoren: Luka Kovač, Igor Farkaš
Veröffentlicht in: Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Herausgeber: Springer Nature
DOI: 10.48550/arXiv.2312.09468

Detection of Vascular Leukoencephalopathy in CT Images

Autoren: Zuzana Cernekova; Viktor Sisik; Fatana Jafari
Veröffentlicht in: International Conference on Innovative Techniques and Applications of Artificial Intelligence, 2024
Herausgeber: Springer
DOI: 10.48550/ARXIV.2501.09863

Practical solutions to the relative pose of three calibrated cameras

Autoren: Charalambos Tzamos, Viktor Kocur, Yaqing Ding, Daniel Barath, Zuzana Berger Haladová, Torsten Sattler, Zuzana Kukelova
Veröffentlicht in: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2303.16078

Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models

Autoren: Andrej Lúčny, Kristína Malinovská, Igor Farkaš
Veröffentlicht in: Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Herausgeber: Springer Nature
DOI: 10.48550/arXiv.2311.13226

Evaluating the Significance of Outdoor Advertising from Driver’s Perspective Using Computer Vision

Autoren: Zuzana Černeková, Zuzana Berger Haladová, Ján Špirka, Viktor Kocur
Veröffentlicht in: 2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Herausgeber: IEEE
DOI: 10.48550/arXiv.2311.07390

Enhancement of 3D Camera Synthetic Training Data with Noise Models

Autoren: Osvaldová, Katarína; Gajdošech, Lukáš; Kocur, Viktor; Madaras, Martin
Veröffentlicht in: Proceedings of the 27th Computer Vision Winter Workshop, 2024
Herausgeber: Slovenian Pattern Recognition Society
DOI: 10.5281/zenodo.10694437

Executable Multi-Layered Software Models

Autoren: Lukas Radosky, Ivan Polasek
Veröffentlicht in: Proceedings of the 1st International Workshop on Designing Software, 2024
Herausgeber: ACM
DOI: 10.48550/ARXIV.2501.09863

CycleIK: Neuro-inspired Inverse Kinematics

Autoren: Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter
Veröffentlicht in: Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Herausgeber: Springer Nature
DOI: 10.48550/arXiv.2307.11554

To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills

Autoren: Carlo Mazzola, Marta Romeo, Francesco Rea, Alessandra Sciutti, Angelo Cangelosi
Veröffentlicht in: 2023 International Joint Conference on Neural Networks (IJCNN), 2023
Herausgeber: IEEE
DOI: 10.48550/arXiv.2308.10757

A method for estimating roadway billboard salience

Autoren: Zuzana Berger Haladova, Michal Zrubec, Zuzana Cernekova
Veröffentlicht in: ACM Symposium on Applied Perception 2024, 2024
Herausgeber: ACM
DOI: 10.48550/ARXIV.2501.07342

Diffusing in Someone Else’s Shoes: Robotic Perspective-Taking with Diffusion

Autoren: Josua Spisak, Matthias Kerzel, Stefan Wermter
Veröffentlicht in: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), 2024
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2404.07735

Peer reviewed articles (4)

NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation

Autoren: Matthias Kerzel, Philipp Allgeuer, Erik Strahl, Nicolas Frick, Jan-Gerrit Habekost, Manfred Eppe, Stefan Wermter
Veröffentlicht in: IEEE Access, Ausgabe 11, 2023, ISSN 2169-3536
Herausgeber: IEEE
DOI: 10.48550/arXiv.2305.08528

Computer Vision and Image Understanding

Autoren: Iveta Bečková; Štefan Pócoš; Giulia Belgiovine; Marco Matarese; Omar Eldardeer; Alessandra Sciutti; Carlo Mazzola
Veröffentlicht in: Computer Vision and Image Understanding, Ausgabe 253, 2025, ISSN 1077-3142
Herausgeber: Academic Press
DOI: 10.48550/ARXIV.2407.03340

Collaborative software design and modeling in virtual reality

Autoren: Martin Stancek, Ivan Polasek, Tibor Zalabai, Juraj Vincur, Rodi Jolak, Michel Chaudron
Veröffentlicht in: Information and Software Technology, Ausgabe 166, 2023, ISSN 0950-5849
Herausgeber: Elsevier
DOI: 10.48550/arXiv.2311.17787

Snapture—a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition

Autoren: Hassan Ali, Doreen Jirak, Stefan Wermter
Veröffentlicht in: Cognitive Computation, Ausgabe 15, 2023, ISSN 1866-9964
Herausgeber: Springer Link
DOI: 10.48550/arXiv.2205.15862

Book chapters (1)

Pointing-Guided Target Estimation via Transformer-Based Attention

Autoren: Luca Müller, Hassan Ali, Philipp Allgeuer, Lukáš Gajdošech, Stefan Wermter
Veröffentlicht in: Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions, 2025
Herausgeber: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2509.05031