Preprint
Aug 2026
AtlasVLA: Persistent World-Ego State Modeling for Vision-Language-Action Models
AtlasVLA is a novel framework that transitions from direct reactive manipulation to proactive reasoning through a persistent world-ego state and decisively outperforms multi-view baselines, yielding absolute success rate improvements of 9.4% on LIBERO-Long and 17.5% in real-world long-horizon tasks.
Guiyu Zhao, Long-Teng Guo, Yang-Hong Mei et al.
· 1 citation