5 papers · 1 filter
A Practical Causal Framework for Autonomous Mobile Robots: From Simulation to Real-World Human Environments
Luca Castri, Gloria Beraldo, Nicola Bellotto
Causal inference has emerged as a powerful paradigm enabling robots to make safe, efficient decisions by reasoning about the ``why'' behind events. However, its real-world applicat…
Estimating the Causal Impact of Social Navigation Signals in Corridor Scenarios
Francesco Baldo, Luca Castri, Gloria Beraldo +1
Deploying robots in human-shared environments requires deciding not only how to navigate, but also when dedicated social signals are worth emitting. Classic observation-based infer…
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments
Luca Castri, Gloria Beraldo, Nicola Bellotto
The growing integration of robots in shared environments-such as warehouses, shopping centres, and hospitals-demands a deep understanding of the underlying dynamics and human behav…
Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios
Luca Castri, Gloria Beraldo, Sariah Mghames +2
Deploying robots in human-shared environments requires a deep understanding of how nearby agents and objects interact. Employing causal inference to model cause-and-effect relation…
ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications
Luca Castri, Gloria Beraldo, Sariah Mghames +2
Deploying robots in human-shared spaces requires understanding interactions among nearby agents and objects. Modelling cause-and-effect relations through causal inference aids in p…