τ₀-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation
Shanghai Innovation Institute
Hierarchical robot foundation model that treats high-level subtask generation as a compute-scalable inference problem solved via world-model-guided beam search with execution memory; trained on 40,115 hours of real-world multimodal data and shows large closed-loop gains on long-horizon manipulation under distribution shift.
Why it matters
HF Daily Paper with 519 upvotes (highest of the day); large real-data hierarchical VLA with test-time compute scaling
Importance: 3/5
HF Daily Paper with 519 upvotes
Sources
official
τ₀-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation
official
HF Daily Paper page for τ₀-VLA