Paper ID: 2403.16606

ROXIE: Defining a Robotic eXplanation and Interpretability Engine

Francisco J. Rodríguez-Lera, Miguel A. González-Santamarta, Alejandro González-Cantón, Laura Fernández-Becerra, David Sobrín-Hidalgo, Angel Manuel Guerrero-Higueras

In an era where autonomous robots increasingly inhabit public spaces, the imperative for transparency and interpretability in their decision-making processes becomes paramount. This paper presents the overview of a Robotic eXplanation and Interpretability Engine (ROXIE), which addresses this critical need, aiming to demystify the opaque nature of complex robotic behaviors. This paper elucidates the key features and requirements needed for providing information and explanations about robot decision-making processes. It also overviews the suite of software components and libraries available for deployment with ROS 2, empowering users to provide comprehensive explanations and interpretations of robot processes and behaviors, thereby fostering trust and collaboration in human-robot interactions.

Submitted: Mar 25, 2024