Part 7/12:
Achieving these results required an enormous and diverse data set, incorporating over 200,000 robot trajectories collected from 52 different datasets, as well as human demonstration videos. This contrasts sharply with conventional robotic datasets, which tend to focus narrowly on specific tasks or setups. By consolidating such varied information, MIT researchers created a foundation that allows robots to draw parallels and transfer knowledge across domains.