Foundational Models for Robot Control 

Pretrained large networks, sometimes called foundational models, are becoming increasingly useful in our research these days. Many works are pointing out how these models are advanced and can be generalized to many different tasks. I generally take the more humble view and accept that these methods fall somewhere between far better than starting from a randomly initialized model to can be helpful for planning.
I gave a lecture in my class to piece together the very recent progress on using large or pretrained models for robot control. There are likely more works to include, but I suspect this outline will help others catch up to the progress made in using large models for robotics.