This is what they would like to do, but it is hard to get funding for such an effort or to prioritize such work. It sounds like they think it would take a long time, and it wouldn't yield high impact papers from just doing that exercise.

Plus, even after doing that, there would still be a sim2real gap. The goal of our research is to use physics informed deep learning and methods with strong inductive biases, combined with transfer learning and low-shot learning to overcome the sim2real gap.