With the growing advancement of robotics research, there is a growing need for people-friendly communication between robots and humans. On one hand, the decisions of the autonomous system need to be understandable to humans, and on the other – humans need to be able to specify commands in a way that is natural to them.

In cases of shared autonomy, where an operator needs to take control in case the autonomous system is uncertain about a situation, our research focuses on automatically generating hypothetical explanations of the model decisions and analysis of which part of the data would be relevant for a human to understand the situation in order to react in a timely manner.

Another direction of the research is allowing humans to specify commands to the autonomous systems in an intuitive way – by using natural language.