{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/vision-language-action-models",
  "headline": "Vision-Language-Action Models: Unified Multimodal Foundation Models for Embodied AI",
  "description": "Vision-Language-Action (VLA) models extend multimodal AI to physical interaction — a single neural network that sees the environment, understands spoken instructions, and generates robot actions. From \"pick up the red cup\" to complex multi-step manipulation, VLA models represent the convergence of vision, language, and robotics into unified foundation models.",
  "dateCreated": "2026-05-24T02:49:13.672Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Vision-Language-Action (VLA) Models: Concepts, Methods, and Applications (Comprehensive Survey)",
      "sameAs": "https://arxiv.org/abs/2505.04769"
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      "@type": "CreativeWork",
      "name": "Emu3: Multimodal learning with next-token prediction for large multimodal models",
      "sameAs": "https://www.nature.com/articles/s41586-025-10041-x"
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