Data Party THU
Data Party THU
Oct 29, 2025 · Artificial Intelligence

Can Test-Time Scaling Unlock More Reliable Vision‑Language‑Action Robots?

The paper introduces RoboMonkey, a framework that applies a generate‑and‑verify paradigm and test‑time scaling to Vision‑Language‑Action models, showing that increasing sampling and verification at inference dramatically reduces action error across multiple VLA architectures, and presents scalable verifier training, synthetic data augmentation, and efficient deployment strategies.

AI researchAction VerificationRoboMonkey
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Can Test-Time Scaling Unlock More Reliable Vision‑Language‑Action Robots?