Explainability

In this project, we are investigating and proposing a novel knowledge representation framework for robot memory introspection in decision-making and explanatory scenarios for long-term tasks.

In this project, we are investigating new methods to fill the gap between the reasoning and the execution layers of a robotic system. To fulfill this objective is fundamental to gather in the same team researchers from both subfields in robotics.

In this project, we will develop a novel framework to combine explanations originated at the different robotic levels into a single explanation.