The Toyota Research Institute is going beyond supervised learning for automated driving and exploring problems that affect research and development of long-term, large-scale autonomous robots. These problems include unsupervised domain adaptation, self-supervised learning, and robustness to edge cases. This session will dive into robotics systems, especially end-to-end vs. modular design and human-robot interaction. It will also include some of TRI's related research directions, especially those around world-scale cloud robotics.