RynnVLA-Latent: Scaling Robotic Manipulation Foundation Models with 3D-Grounded Latent Actions
The paper addresses scaling vision-language-action (VLA) models, which is constrained by scarce action-labeled demonstrations and incompatible control spaces across robot embodiments. It presents RynnVLA-Latent, a framework that turns heterogeneous interaction videos into supervision for robot policy pretraining. Its core component, RynnLAM, learns continuous, 3D-grounded latent actions. The supplied text is truncated, so further details of the method and results are not available here.
Open original source huggingface.coOne primary source; other links are context, not independent corroboration.
- Primary sourceHugging Face Daily Papers
- Discovery linkHugging Face
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The paper addresses scaling vision-language-action (VLA) models, which is constrained by scarce action-labeled demonstrations and incompatible control spaces across robot embodiments. It presents RynnVLA-Latent, a framework that turns heterogeneous interaction videos into supervision for robot policy pretraining. Its core component, RynnLAM, learns continuous, 3D-grounded latent actions. The supplied text is truncated, so further details of the method and results are not available here.
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Key findings from the stored brief
- Scaling VLA models is limited by scarce action-labeled demonstrations and incompatible control spaces across embodiments.
- RynnVLA-Latent turns heterogeneous interaction videos into supervision for robot policy pretraining.
- Its core component, RynnLAM, learns continuous, 3D-grounded latent actions.
Source claims not independently checked; the supplied primary-source text is truncated, so experimental results are not available.
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Why this may matter
Robot foundation models need large amounts of data, but action-labeled demonstrations are expensive. Learning latent actions from ordinary interaction videos could expand the usable training data across different robot bodies.
Limits and open questions
Source claims not independently checked; the supplied primary-source text is truncated, so experimental results are not available.
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