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Vision-Language-Action Models
State of Vision-Language-Action Models
4 papers · avg viability 5.5
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Top papers
AugVLA-3D: Depth-Driven Feature Augmentation for Vision-Language-Action Models
(7.0)
ActionCodec: What Makes for Good Action Tokenizers
(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)
