As more and more robots are introduced into our everyday life and workspaces, we find new ways in which they can provide support in many different tasks. In such increasingly hybrid environments, our interactions with robots and other virtual agents will increase. This will require novel forms of cooperation and collaboration. Robots should learn to adapt to our needs over long timescales and should help free us of tedious tasks. This will require autonomous robots that don't need detailed instruction, but will operate freely within boundary conditions that specify high level goals.

Shared Autonomy focuses on how autonomous systems can successfully interact and shape each other's autonomy spaces. It is about how two or more autonomous agents mediate how they individually and jointly can contribute, on the one hand, to an overarching goal, but also, on the other hand, to their individual goals. The workshop aims, first, at addressing the underlying theoretical issues and potential models. Secondly, the main focus of the workshop is on the realization of such models in robotic systems and in answering the question how such systems can successful realize collaboration between humans and robots.