ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications

To address this gap, this paper introduces ROS-Causal, a ROS-based framework The growing use of robots in various sectors, such as industrial, for onboard data collection and causal discovery in human-robot agriculture, and healthcare, represents an advancement in the development spatial interactions. An ad-hoc simulator, integrated with ROS, illustrates of these sectors. However, to guarantee the robots' inclusion the approach's effectiveness, showcasing the robot onboard alongside humans in an eco-friendly manner, new approaches for generation of causal models during data collection. ROS-Causal is ensuring effective human-robot interactions (HRIs) have been investigated.