Robot learning combines the challenges of understanding, modeling and applying dynamical systems with task learning from rewards, through human robot interaction or from intrinsic motivation signals. While outstanding results using machine and deep learning have been generated in robot learning in the last years, current challenges in industrial applications are underrepresented. The goal of this workshop is to go beyond discussing potential industrial applications like in related past workshops.

These topics were discussed with Pieter Abbeel, Dileep George, Sergey Levine, Jan Peters, Freek Stulp, Marc Toussaint, Patrick van der Smagt, and Georg von Wichert.