TL;DR of the paper, generated automatically.

SLA adds spatial understanding to a pretrained robot policy via continual pre-training.

• Method: aligns visual features with a frozen 3D perception model.
• Inference: extra parts are used only in training, so the architecture stays the same.
• Data: unified robot datasets, some with partial depth and camera calibration.