EMERGE’s findings will be communicated at scientific conferences and published in open-access journals. Find below the current list of publications.
Access all publication on the project's Zenodo community clicking here.
The Ethics of Terminology: Can We Use Human Terms to Describe AI?
The article challenges the justifications for the linguistic practices of for assigning human-like characteristics observed in the field of AI ethics and AI science communication.
Deroy, O. Topoi 42, 881–889 (2023). DOI: 10.1007/s11245-023-09934-1
The impact of labeling automotive AI as trustworthy or reliable on user evaluation and technology acceptance
This study explores whether labeling AI as either “trustworthy” or “reliable” influences user perceptions and acceptance of automotive AI technologies.
Dorsch, J., Deroy, O. Sci Rep 15, 1481 (2025). DOI:10.1038/s41598-025-85558-2
Touching with the eyes: Oculomotor self-touch induces illusory body ownership
In this work, the authors hypothesise that proprioceptive information is not necessary for self-touch modulation of body-ownership.
Antonio Cataldo, Massimiliano Di Luca, Ophelia Deroy, Vincent Hayward, Cataldo et al., iScience 26, 106180, 2023. doi: 10.1016/j.isci.2023.106180
Towards Adaptive and Stable Compositional Assemblies of Recurrent Neural Network Modules
This work devises strategies for training RNNs assembled into a larger RNN of RNNs, provided with theoretical guarantees of stability that hold during training for the composed global network.
Caro, Valerio & Ceni, Andrea & Bacciu, Davide & Gallicchio, Claudio. (2025). 675-680. 10.14428/esann/2025.ES2025-48.
Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites
This paper utilizes a dataset tailored for continual object detection in diverse working environments.
Aslı Çelik¸ Oguzhan Urhan, Andrea Cossu, Vincenzo Lomonaco, ESANN 2024 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium) and online event, 9-11 October 2024.
Towards Fault Mitigation in a Robot Swarm Using Neuroevolution
This paper presents a mitigation strategy using neuroevolution in a fault-discriminatory metric space and demonstrate the strategy in a realistic intralogistics use-case.
Suet Lee and Sabine Hauert, in ICRA 2023 - Workshop on Robot Execution Failures and Failure Management Strategies
Towards Understanding the Impact of Swarm Motion on Human Trust
This study examines how swarm motion affects the trust of novice users in a service-oriented swarm, using an automated cloakroom as a test case.
R. Abu-Aisheh et al., 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Eindhoven, Netherlands, 2025, pp. 2260-2265, doi: 10.1109/RO-MAN63969.2025.11217808.
Trimmed helicoids: an architectured soft structure yielding soft robots with high precision, large workspace, and compliant interactions
In this work, the authors propose an architectured structure based on trimmed helicoids that allows for independent regulation of the bending and axial stiffness which facilitates tuneability of the resulting soft robot properties.
Guan, Q., Stella, F., Della Santina, C. et al. npj Robot 1, 4 (2023). doi: 10.1038/s44182-023-00004-7.
