A faster, better way to train general-purpose robots
news.mit.edu
Inspired by large language models, MIT researchers developed a training technique that pools diverse data to teach robots new skills.

...versatile technique that combines a huge amount of heterogeneous data from many of sources into one system that can teach any robot a wide range of tasks

This method could be faster and less expensive than traditional techniques because it requires far fewer task-specific data. In addition, it outperformed training from scratch by more than 20 percent in simulation and real-world experiments.

Paper: https://arxiv.org/pdf/2409.20537