# SURE: Spatiotemporal Uncertainty Representation for Efficient Vision-Language-Action Learning

- Source: arXiv cs.RO
- Published: 2026-11-09T05:00:00.000Z
- RoboHot: https://robohot.news/en/items/bdw8u8r3ax11s4dicctp0effu
- Original: https://arxiv.org/abs/2611.09684

## Summary

SURE is a data-efficient vision-language-action (VLA) training framework that models spatial uncertainty with a lightweight transposed-convolutional probabilistic action decoder and uses Soft-DTW alignment supervision to accommodate temporal variation across demonstrations. On LIBERO, RoboTwin 2.0, and real manipulation tasks, SURE matches or exceeds baseline VLA manipulation success rates using only 10% of demonstration data or 20% of training steps.