pith:XWR3HY4R
mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs
Pretrained video models plus a flow-matching decoder let robots learn manipulation with far less data than vision-language-action models.
arxiv:2512.15692 v2 · 2025-12-17 · cs.RO · cs.AI · cs.CV · cs.LG
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Our extensive evaluation shows that our approach achieves state-of-the-art performance on simulated and real-world robotic manipulation tasks, improving sample efficiency by 10x and convergence speed by 2x compared to traditional VLA architectures.
That a pretrained internet video model already captures sufficient physical causality and temporal dynamics so that the remaining task reduces cleanly to low-level control via the flow-matching decoder.
mimic-video combines internet video pretraining with a flow-matching decoder to achieve state-of-the-art robotic manipulation performance with 10x better sample efficiency than vision-language-action models.
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| First computed | 2026-05-17T23:38:52.754552Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Canonical record JSON
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