Co-Training Multi-Robot

Training a single generalist policy on demonstration data collected from multiple different robot embodiments (different morphologies, action spaces, and sensor configurations). The hypothesis is that cross-embodiment data teaches more robust representations. The Open X-Embodiment dataset and RT-X models are the flagship examples, aggregating data from 22+ robot types.