In this project, we study to what extent cross-modal perception can substantially benefit a robots’ cognitive system ability to seamlessly adapt to changes in the environment, increasing their autonomy and understanding of the world through multimodal learning. We also use this expertise to raise awareness of the capabilities and limitations of robots among the general public, helping to tackle one of the biggest challenges preventing the wide-spread use of social robots: a mismatch between what the robot can actually do and what the user expects the robot should do. Furthermore, such awareness sets the basis to invite attendants to reflect on how the development of robots can be influenced by issues of politics, power structures, values, morals and legitimacy, as well as the longterm effects these decisions can have in the society.