Publications
2025
- Pekarek Rosin T., Gachot, J., Kordt, H.-L., Kerzel, M., Wermter, S.: Talking to Robots: A Practical Examination of Speech Foundation Models for HRI Applications. Presented at the Workshop on Foundation Model for Social Robotics (FoMoSR) at the International Conference on Social Robotics (ICSR) 2025, DOI, Full-text. (2025)
- Arunachalam, H., Singamaneni, P. T., Alami, R.: Assessing Human Cooperation for Enhancing Social Robot Navigation. Pre-print, (2025)
- Love, T., Andriella, A., Alenyà, G.: Temporal Counterfactual Explanations of Behaviour Tree Decisions. Submitted to Engineering Applications of Artificial Intelligence. Pre-print, (2025)
- Gebelli, F., Pramanick, P., Love, T., Ros, R., Garrell, A., Rossi, S., Andriella, A., Alenya, G.: Measuring User Understanding in Explainable Human-Robot Interaction: A Systematic Review. Submitted to ACM. Pre-print, (2025)
- Gebellí, F., Garrell, A, Habekost, J.-G., Lemaignan, S., Wermter, S., Ros, R.: Personalised Explanations in Long-term Human-Robot Interactions. In Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2025), Pre-print, (2025)
- Gebellí, F., Garell, A., Lemaignan, S., Ros, R.: Dynamics of Mental Models: Objective Vs. Subjective User Understanding of a Robot in the Wild. In IEEE Robotics and Automation Letters ( Volume: 10, Issue: 8, August 2025), DOI, Full-text, (2025)
- Wulff, T., Singh Maharjan, R., Chi, X., Cangelosi, A.: Joint Action Language Modelling for Transparent Policy Execution. Accepted at IJCNN 2025. Preprint, (2025)
- Pham, T., Cangelosi, A.: Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning. Accepted at IJCNN 2025. Preprint, (2025)
- Gebellí, F., Hriscu, L., Ros, R., Lemaignan, S., Sanfeliu, A., Garrell, A.: Personalised Explainable Robots Using LLMs. Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, DOI, Full-text, (2025)
- Pekarek Rosin, T., Hassouna, V., Sun, X., Krohm, L., Kordt, H.-L., Beetz, M., Wermter, S.: A Framework for Adapting Human-Robot Interaction to Diverse User Groups. In Social Robotics. ICSR + AI 2024, DOI, Full-text, (2025)
2024
- Zhu, H., Wulff, T., Maharjan, R. S., Han, J., Cangelosi, A.: Noise-Free Explanation for Driving Action Prediction. In Frontiers in Artificial Intelligence and Applications (Volume 392: ECAI 2024), DOI, Full-text, (2024)
- Pramanick, P., Rossi, S.: PRISCA at ERR@ HRI 2024: Multimodal Representation Learning for Detecting Interaction Ruptures in HRI. In Proceedings of the 26th International Conference on Multimodal Interaction, DOI, Full-text, (2024)
- Pramanick, P., Raggioli, L., Rossi, A., Rossi, S.: Effects of Incoherence in Multimodal Explanations of Robot Failures. In Companion Proceedings of the 26th International Conference on Multimodal Interaction, DOI, Full-text, (2024)
- Love, T., Andriella, A., Alenyà, G.: Personalising Explanations and Explaining Personalisation. Presented at the Workshop on Weighing the benefits of Autonomous Robot persoNalisation (WARN) at the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2024), Full-text, (2024)
- Gebellí, F., Ros, R., Lemaignan, S., Garrell, A.: Co-designing Explainable Robots: A Participatory Design Approach for HRI. In Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2024), Preprint, (2024)
- Love T., Andriella, A., Alenyà, G.: What would I do if...? Promoting Understanding in HRI through Real-time Explanations in the Wild. In Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2024), Preprint, (2024)
- Pramanick, P., Rossi, S.: Multimodal Coherent Explanation Generation of Robot Failures. In Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024), Preprint, (2024)
- Love, T., Andriella, A., Alenyà, G.: Towards Explainable Proactive Robot Interactions for Groups of People in Unstructured Environments. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion), DOI, Full-text, (2024)
- Gebellí, F., Ros, R., Garrell, A.: Participatory design for explainable robots. Presented at the workshop on Explainability for Human-Robot Collaboration at the 2024 ACM/IEEE International Conference on Human-Robot Interaction, Full-text, (2024)
2023
- Lee, J., Lanza, S., Wermter, S.: From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks. In: Neurosymbolic Artificial Intelligence. DOI, Full-text, (2023)