Towards Excellent Robotics and Artificial Intelligence at a Slovak university
Widening ParticipationHORIZON-CSAID: 101079338
EC Contribution
€14,999
Consortium Size
3 orgs
Start Year
2022
▶Summary
The TERAIS project aims at transforming the Department of Applied Informatics (DAI) at COMENIUS UNIVERSITY in Bratislava (UKBA) to a workplace of international academic excellence and an outstanding example for other HEIs in Slovakia. To achieve this, the project aims to: (1) prepare conditions for systematic development of human capital and research capacity of DAI UKBA, (2) establish sustainable networking and collaboration links with partner institutions/within UKBA, (3) boost scientific profile of DAI towards mitigating the research and innovation gap, (4) establish institutional research support structures at UKBA. The partnership will comprise, in addition to DAI UKBA, the Knowledge Technology team at UNIVERSITÄT HAMBURG in Germany - with exceptional expertise in neural networks, deep learning and crossmodal learning for developmental robotics - and two units at ISTITUTO ITALIANO DI TECNOLOGIA in Italy - with excellent experience in humanoid robotics, control using physical and simulated robots and human-robot interaction. The project will be based on 4 pillars: (1) PEOPLE - aiming at creating a life-long career development system at UKBA; (2) NETWORKING - focusing on strengthening collaboration links with international partners and the business community; (3) RESEARCH - focusing on cognitive robotics, a part of embodied artificial intelligence, in which all project partners have outstanding expertise; and (4) SUPPORT - directed towards building the necessary research support structures at UKBA. The project will leverage a broad range of channels, such as staff/student exchanges, joint events/proposals/publications and specific dissemination/communication tools. The project is expected to contribute to promoting research excellence at different levels (UKBA: DAI, Faculty, University; Slovakia; international scientific community) and achieving wider economic and social impacts - with UKBA serving as a key agent of transformation.
Consortium (3)
🇸🇰 UNIVERZITA KOMENSKEHO V BRATISLAVESK
coordinator🇮🇹 FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIAIT
partner🇩🇪 UNIVERSITY OF HAMBURGDE
partnerProject Results (68)
Source: CORDIS, the EU research results database.
▶Publications (49)
Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?
Charalambos Tzamos, Viktor Kocur, Yaqing Ding, Torsten Sattler, Zuzana Kukelova
Comparing Apples to Oranges: LLM-Powered Multimodal Intention Prediction in an Object Categorization Task
Hassan Ali, Philipp Allgeuer, Stefan Wermter
Computer Vision and Image Understanding
Iveta Bečková; Štefan Pócoš; Giulia Belgiovine; Marco Matarese; Omar Eldardeer; Alessandra Sciutti; Carlo Mazzola
Open-Vocabulary Robotic Object Manipulation using Foundation Models
Griebenow, Stig; Özdemir, Ozan; Weber, Cornelius; Wermter, Stefan
Pointing-Guided Target Estimation via Transformer-Based Attention
Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions· 2025DOI
Luca Müller, Hassan Ali, Philipp Allgeuer, Lukáš Gajdošech, Stefan Wermter
Practical solutions to the relative pose of three calibrated cameras
Charalambos Tzamos, Viktor Kocur, Yaqing Ding, Daniel Barath, Zuzana Berger Haladová, Torsten Sattler, Zuzana Kukelova
Three-view Focal Length Recovery From Homographies
Yaqing Ding, Viktor Kocur, Zuzana Berger Haladová, Qianliang Wu, Shen Cai, Jian Yang, Zuzana Kukelova
Towards Bio-inspired Robotic Trajectory Planning via Self-supervised RNN
Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions· 2025DOI
Miroslav Cibula, Kristína Malinovská, Matthias Kerzel
Will multimodal large language models ever achieve deep understanding of the world?
Igor Farkaš, Michal Vavrečka, Stefan Wermter
A method for estimating roadway billboard salience
Zuzana Berger Haladova, Michal Zrubec, Zuzana Cernekova
Detection of Vascular Leukoencephalopathy in CT Images
International Conference on Innovative Techniques and Applications of Artificial Intelligence· 2024DOI
Zuzana Cernekova; Viktor Sisik; Fatana Jafari
Diffusing in Someone Else’s Shoes: Robotic Perspective-Taking with Diffusion
Josua Spisak, Matthias Kerzel, Stefan Wermter
Enhancement of 3D Camera Synthetic Training Data with Noise Models
Osvaldová, Katarína; Gajdošech, Lukáš; Kocur, Viktor; Madaras, Martin
Executable Multi-Layered Software Models
Lukas Radosky, Ivan Polasek
Learning Low-Level Causal Relations Using a Simulated Robotic Arm
Miroslav Cibula; Matthias Kerzel; Igor Farkaš
RecViT: Enhancing Vision Transformer with Top-Down Information Flow
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications· 2024DOI
Štefan Pócoš; Iveta Bečková; Igor Farkaš
Robotic Imitation of Human Actions
Josua Spisak, Matthias Kerzel, Stefan Wermter
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation
Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Lukáš Gajdošech, Stefan Wermter
Robust Self-Calibration of Focal Lengths from the Fundamental Matrix
Viktor Kocur, Daniel Kyselica, Zuzana Kukelova
Sketch it for the Robot! How Child-Like Robots' Joint Attention Affects Humans' Drawing Strategies
Carlo Mazzola, Lorenzo Morocutti, Hillary Pedrizzi, Xenia Daniela Poslon, Andrej Lucny, Sarah Marie Wingert, Yukie Nagai, Francesco Rea, Alessandra Sciutti
When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration
Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning – ICANN 2024· 2024DOI
Philipp Allgeuer, Hassan Ali, Stefan Wermter
Appearance-based gaze estimation enhanced with synthetic images using deep neural networks
Dmytro Herashchenko, Igor Farkaš
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification
Josua Spisak, Matthias Kerzel, Stefan Wermter
Collaborative software design and modeling in virtual reality
Martin Stancek, Ivan Polasek, Tibor Zalabai, Juraj Vincur, Rodi Jolak, Michel Chaudron
Controlling the Output of a Generative Model by Latent Feature Vector Shifting
Belanec, Róbert; Lacko, Peter; Malinovská, Kristína
CycleIK: Neuro-inspired Inverse Kinematics
Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter
Evaluating the Significance of Outdoor Advertising from Driver’s Perspective Using Computer Vision
Zuzana Černeková, Zuzana Berger Haladová, Ján Špirka, Viktor Kocur
Merge, Explain, Iterate: A Combination of MHS and MXP in an ABox Abduction Solver
Martin Homola, Júlia Pukancová, Janka Boborová, Iveta Balintová
Neural Field Conditioning Strategies for 2D Semantic Segmentation
Martin Gromniak, Sven Magg, Stefan Wermter
NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation
Matthias Kerzel, Philipp Allgeuer, Erik Strahl, Nicolas Frick, Jan-Gerrit Habekost, Manfred Eppe, Stefan Wermter
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
Peter Kravár, Lukáš Gajdošech. Martin Madaras
Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning
Tomáš Kunzo, Viktor Kocur, Lukáš Gajdošech, Martin Madaras
QuasiNet: A Neural Network with Trainable Product Layers
Kristína Malinovská, Slavomír Holenda, Ľudovít Malinovský
Real-time Addressee Estimation: Deployment of a Deep-Learning Model on the iCub Robot
Carlo Mazzola, Francesco Rea, Alessandra Sciutti
Replay to Remember: Continual Layer-Specific Fine-Tuning for German Speech Recognition
Theresa Pekarek Rosin, Stefan Wermter
Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models
Andrej Lúčny, Kristína Malinovská, Igor Farkaš
Safe Reinforcement Learning in a Simulated Robotic Arm
Luka Kovač, Igor Farkaš
Snapture—a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition
Hassan Ali, Doreen Jirak, Stefan Wermter
Spike up Prime Interest in Science and Technology through Constructionist Games
Pavel Petrovič, Fedir Agarshev
Supersampling of Data from Structured-light Scanner with Deep Learning
Martin Melicherčík, Lukáš Gajdošech, Viktor Kocur, Martin Madaras
To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Carlo Mazzola, Marta Romeo, Francesco Rea, Alessandra Sciutti, Angelo Cangelosi
Tuning-less Object Naming with a Foundation Model
Andrej Lucny, Pavel Petrovic
Using Programmable Drone in Educational Projects and Competitions
Pavel Petrovič, Peter Verčimák
Examining the legibility of humanoid robot arm movements in a pointing task
Andrej Lúčny, Matilde Antonj, Carlo Mazzola, Hana Hornáčková, Ana Farić, Kristína Malinovská, Michal Vavrecka, Igor Farkaš
Generating and Customizing Robotic Arm Trajectories using Neural Networks
Andrej Lúčny, Matilde Antonj, Carlo Mazzola, Hana Hornáčková, Igor Farkaš
LLM-based Interactive Imitation Learning for Robotic Manipulation
Jonas Werner, Kun Chu, Cornelius Weber, Stefan Wermter
On Representation of 3D Rotation in the Context of Deep Learning
International Conference on Computer Vision and Graphics ICCVG 2024DOI
Viktória Pravdová, Lukáš Gajdošech, Hassan Ali, Viktor Kocur
Robotic Calibration Based on Haptic Feedback Improves Sim-to-Real Transfer
Juraj Gavura, Michal Vavrecka, Igor Farkas, Connor Gade
Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks
Lukáš Gajdošech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter
▶Deliverables (19)
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Data Management Plan
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Ethics Requirements
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