+abstract: "While there has been major investment in developing large-scale robot learning algorithms, achieving true autonomy remains a wide-open research question. A key ingredient towards this goal is a robots ability to generalize to unseen scenarios well enough such that it can bootstrap learning and adaptation efficiently. In this talk, I’ll present examples of FAIR robotics research towards the goal of learning general representations for a wide spectrum of robotics applications."
0 commit comments