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.
Social Judgment Interferes With Action Generation During Instrumental Learning
This work investigated how social judgment modulates behavioral and neural mechanisms underlying value-based decision-making.
Zahra Rezazadeh, Bahador Bahrami, and Simone Schütz-Bosbach, Journal of Psychophysiology 2025 39:2, 74-86. DOI: 10.1027/0269-8803/a000348
Soft Robot Shape Estimation With IMUs Leveraging PCC Kinematics for Drift Filtering
This letter proposes a method to eliminate this limitation by leveraging the Piecewise Constant Curvature model assumption.
F. Stella, C. D. Santina and J. Hughes, in IEEE Robotics and Automation Letters, vol. 9, no. 2, pp. 1945-1952, Feb. 2024, doi: 10.1109/LRA.2023.3339063.
SONAR: Long-Range Graph Propagation Through Information Waves
This work introduces SONAR, a novel GNN architecture inspired by the dynamics of wave propagation in continuous media.
Alessandro Trenta and Alessio Gravina and Davide Bacciu, in proceedings of The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025.
Sparse Autoencoders Find Partially Interpretable Features in Italian Small Language Models
This work provides an early evaluation on the feasibility of using Sparse Autoencoders to interpret models trained to be natively Italian.
Alessandro Bondielli, Lucia Passaro, and Alessandro Lenci, in CLiC-it 2025: Eleventh Italian Conference on Computational Linguistics, September 24 — 26, 2025, Cagliari, Italy.
Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks
In this paper, the authors propose 6 sparse topologies for Random Oscillators Networks (RON) and study the performance of the model across different levels of sparsity and different numbers of hidden units.
Andrea Cossu, Andrea Ceni, Davide Bacciu, and Claudio Gallicchio. 2025. In Proceedings of the 4th International Conference on AI-ML Systems (AIMLSystems '24). DOI: 10.1145/3703412.3703413
SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots
This work introduces the Double Threshold Spiking neuron model with adjustable thresholds to generate varied output patterns.
C. Zhang, C. Wang, W. Pan and C. D. Santina, 2025 IEEE 8th International Conference on Soft Robotics (RoboSoft), Lausanne, Switzerland, 2025, pp. 1-8, doi: 10.1109/RoboSoft63089.2025.11020907.
Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
This paper puts forward a unified setting that harnesses the benefits of both Continual learning (CL) and streaming machine learning (SML): their ability to quickly adapt to nonstationary data streams without forgetting previous knowledge.
F. Giannini, G. Ziffer, A. Cossu and V. Lomonaco, in IEEE Intelligent Systems, vol. 39, no. 6, pp. 81-85, Nov.-Dec. 2024, doi: 10.1109/MIS.2024.3479469.
Synergy-based robotic quadruped leveraging passivity for natural intelligence and behavioural diversity
This study shows a bioinspired approach to the design of quadrupeds that seeks to exploit the body and the passive properties of the robot while maintaining active controllability on the system through minimal actuation.
Stella, F., Achkar, M.M., Della Santina, C. et al. Nat Mach Intell 7, 386–399 (2025). DOI: 10.1038/s42256-025-00988-x
Temporal Graph ODEs for Irregularly-Sampled Time Series
This work introduces the Temporal Graph Ordinary Differential Equation (TG-ODE) framework, which learns both the temporal and spatial dynamics from graph streams where the intervals between observations are not regularly spaced.
Alessio Gravina, Daniele Zambon, Davide Bacciu and Cesare Alippi, in Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24, 4025-4034, doi: 10.24963/ijcai.2024/445.
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.
