Robotics papers judge models by how well training signals survive contact with execution
This day is strongest on one point: robotics papers are tightening the link between pretraining, prediction, and real execution.
Topic summary
Humanoids
Embodied Model Training Stack
The clearest near-term changes are a robot-aligned data curation layer before VLA fine-tuning, an execution-based evaluation loop for world models, and a shared training stack that keeps backbone and data-mixture…