Research Interests: Human-Robot Interaction, Interpretable Learning from Demonstration, Disentangled Representations Learning for Symbol Grounding

Research Description: My research interests are related to the field of Human-Robot Interaction, focussing on methods that allow human experts to speed up learning for robotic agents. Naturally humans can use multiple modalities of information to teach the agents certain task-specific knowledge that is crucial for the low sample complexity of the learning process. Thus, the challenge is to bridge the high-level semantic space in which the experts reason with the low-level state/action space in which the agents operate.