My primary research interest lies in Human-Robot Interaction, specifically in enhancing how robots learn about humans and our world. I have always been fascinated by the factors that influence human learning. Understanding learning theories is crucial for designing effective learning machines. My PhD research focused on how our perception and understanding of the world are shaped by a network of dispositifs. By incorporating the concept of dispositif networks into robot learning algorithms, we can significantly improve Human-Robot Interaction.