Robotics dominates this period. The strongest papers test vision-language-action (VLA) policies against rollout cost, long-horizon drift, collision risk, tactile data gaps, and factory serving.
VLA work is moving into release engineering problems: cheaper policy evaluation, fleet inference under latency targets, and safety checks across predicted action chunks.
This day’s robotics set is strongest on one point: researchers are putting task structure into the data path and decision path. The clearest examples are \pi_{0.7}, WAV, and ShapeGen.
Robotics work in this window gives three concrete workflow changes. Mobile manipulation teams can add docking-pose augmentation around existing demonstrations to recover performance under navigation error.