The research focus is on developing state-of-the-art machine learning algorithms (including Deep learning, Reinforcement learning, and Unsupervised learning) for intelligent robot behaviour. We aim to advance the decisional autonomy of robots, improve their perception, their understanding of the world, and their prediction capabilities. The ultimate goal is to create algorithms that allow robots to autonomously learn from their environment in an open-ended and continuous way (i.e. lifelong learning).