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State of Vision-Language-Action Models | Report | ScienceToStartup

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Vision-Language-Action Models

State of Vision-Language-Action Models

7 papers · avg viability 6.1

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Top papers

AugVLA-3D: Depth-Driven Feature Augmentation for Vision-Language-Action Models(7.0)
LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models(7.0)
ActionCodec: What Makes for Good Action Tokenizers(7.0)
FASTER: Rethinking Real-Time Flow VLAs(7.0)
PVI: Plug-in Visual Injection for Vision-Language-Action Models(7.0)
Chain of World: World Model Thinking in Latent Motion(5.0)
Pri4R: Learning World Dynamics for Vision-Language-Action Models with Privileged 4D Representation(3.0)