{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "name": "Teach and Grow (TGL)",
  "description": "Reference implementation of Teach-and-Grow Learning, a training-free architecture for general robot learning in which a pretrained multimodal agent turns sparse demonstrations into reusable Skill Blocks.",
  "codeRepository": "https://github.com/IRMVLab/TGL",
  "url": "https://tgl.changnie.top/",
  "license": "https://github.com/IRMVLab/TGL",
  "programmingLanguage": [
    "Python"
  ],
  "datePublished": "2026-08-17",
  "dateModified": "2026-09-18",
  "author": [
    {
      "@type": "Person",
      "givenName": "Nie",
      "familyName": "Chang",
      "affiliation": {
        "@type": "Organization",
        "name": "Shanghai Jiao Tong University"
      }
    },
    {
      "@type": "Person",
      "givenName": "Liu",
      "familyName": "Zhe",
      "affiliation": {
        "@type": "Organization",
        "name": "Shanghai Jiao Tong University"
      }
    },
    {
      "@type": "Person",
      "givenName": "Wang",
      "familyName": "Hesheng",
      "affiliation": {
        "@type": "Organization",
        "name": "Shanghai Jiao Tong University"
      }
    }
  ],
  "referencePublication": {
    "@type": "ScholarlyArticle",
    "name": "Teach and Grow: An Agent-Centered Architecture for General Robot Learning",
    "url": "https://arxiv.org/abs/2608.17209v2",
    "sameAs": [
      "https://arxiv.org/abs/2608.17209v2",
      "https://doi.org/10.48550/arXiv.2608.17209"
    ],
    "datePublished": "2026-08-17"
  },
  "keywords": [
    "Teach and Grow",
    "TGL",
    "Teach-and-Grow Learning",
    "training-free robot learning",
    "robot learning without fine-tuning",
    "agent-centered architecture",
    "agentic robotics",
    "AI agent robot",
    "Skill Blocks",
    "Skill Library",
    "Experience Memory",
    "retraining tax",
    "few-shot teaching",
    "sparse teaching",
    "robot manipulation",
    "vision-language-action",
    "VLA",
    "world-action model",
    "WAM",
    "embodied AI",
    "embodied intelligence",
    "lifelong learning",
    "continual learning",
    "skill composition",
    "GPT-6 Astra",
    "Codex",
    "LIBERO",
    "LIBERO-Plus",
    "robot foundation model",
    "Franka",
    "manipulation benchmark",
    "test-time reasoning robot",
    "Training-free robot learning",
    "vision-language-action models"
  ],
  "developmentStatus": "active"
}