Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions. - Luca Castri; Sariah Mghames; Marc Hanheide; Nicola Bellotto (ICSR (1), 2022)

From Continual Learning to Causal Discovery in Robotics. - Luca Castri; Sariah Mghames; Nicola Bellotto (AAAI Bridge Program, 2023)

Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios. - Luca Castri; Sariah Mghames; Marc Hanheide; Nicola Bellotto (CLeaR, 2023)

A Neuro-Symbolic Approach for Enhanced Human Motion Prediction. - Sariah Mghames; Luca Castri; Marc Hanheide; Nicola Bellotto (IJCNN, 2023)

Qualitative Prediction of Multi-Agent Spatial Interactions. - Sariah Mghames; Luca Castri; Marc Hanheide; Nicola Bellotto (RO-MAN, 2023)

Efficient Causal Discovery for Robotics Applications. - Luca Castri; Sariah Mghames; Nicola Bellotto (CoRR, 2023)

neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction. - Sariah Mghames; Luca Castri; Marc Hanheide; Nicola Bellotto (CIS-RAM, 2024)

Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios. - Luca Castri; Gloria Beraldo; Sariah Mghames; Marc Hanheide; Nicola Bellotto (RO-MAN, 2024)

ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications. - Luca Castri; Gloria Beraldo; Sariah Mghames; Marc Hanheide; Nicola Bellotto (CoRR, 2024)

CAnDOIT: Causal Discovery with Observational and Interventional Data from Time Series. - Luca Castri; Sariah Mghames; Marc Hanheide; Nicola Bellotto (Adv. Intell. Syst., 2024)

Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments. - Luca Castri; Gloria Beraldo; Nicola Bellotto (CoRR, 2025)