{
  "count": 27,
  "updated": "2026-06-28T04:01:10.164Z",
  "data": [
    {
      "id": "LLM-001",
      "name": "GPT-4o",
      "category": "LLM",
      "manufacturer": "OpenAI",
      "type": "multimodal_LLM",
      "parameters": "~1.8T (est.)",
      "input": "text+image",
      "output": "text",
      "robotics_use": [
        "task_planning",
        "visual_reasoning",
        "code_generation",
        "natural_language_command"
      ],
      "api_available": true,
      "open_source": false,
      "price": ".5-10/1M tokens",
      "compatibility": [
        "any_compute_platform_via_API"
      ],
      "embodied_ai": false
    },
    {
      "id": "LLM-002",
      "name": "Claude 3.5 Sonnet",
      "category": "LLM",
      "manufacturer": "Anthropic",
      "type": "LLM",
      "parameters": "unknown",
      "input": "text+image",
      "output": "text",
      "robotics_use": [
        "task_planning",
        "code_generation",
        "safety_reasoning"
      ],
      "api_available": true,
      "open_source": false,
      "price": "-15/1M tokens",
      "compatibility": [
        "any_compute_platform_via_API"
      ],
      "embodied_ai": false
    },
    {
      "id": "LLM-003",
      "name": "RT-2",
      "category": "VLA",
      "manufacturer": "Google DeepMind",
      "type": "vision_language_action",
      "parameters": "55B",
      "input": "text+image",
      "output": "robot_actions",
      "robotics_use": [
        "end_to_end_control",
        "visual_manipulation",
        "instruction_following"
      ],
      "api_available": false,
      "open_source": false,
      "price": "N/A (research)",
      "compatibility": [
        "Google robot hardware"
      ],
      "embodied_ai": true
    },
    {
      "id": "LLM-004",
      "name": "Octo",
      "category": "VLA",
      "manufacturer": "Berkeley",
      "type": "vision_language_action",
      "parameters": "93M",
      "input": "text+image+proprioception",
      "output": "robot_actions",
      "robotics_use": [
        "general_robot_manipulation",
        "transfer_learning"
      ],
      "api_available": true,
      "open_source": true,
      "price": "Free",
      "compatibility": [
        "multiple_robot_arms"
      ],
      "embodied_ai": true
    },
    {
      "id": "LLM-005",
      "name": "OpenVLA",
      "category": "VLA",
      "manufacturer": "Stanford",
      "type": "vision_language_action",
      "parameters": "7B",
      "input": "text+image",
      "output": "robot_actions",
      "robotics_use": [
        "fine_tuned_manipulation",
        "instruction_following"
      ],
      "api_available": true,
      "open_source": true,
      "price": "Free",
      "compatibility": [
        "multiple_robots_via_fine_tuning"
      ],
      "embodied_ai": true
    },
    {
      "id": "LLM-006",
      "name": "Qwen2.5-VL",
      "category": "LLM",
      "manufacturer": "Alibaba",
      "type": "multimodal_LLM",
      "parameters": "3B/7B/72B",
      "input": "text+image+video",
      "output": "text",
      "robotics_use": [
        "visual_reasoning",
        "OCR",
        "spatial_understanding"
      ],
      "api_available": true,
      "open_source": true,
      "price": "Free (self-hosted)",
      "compatibility": [
        "Jetson",
        "RK3588",
        "cloud"
      ],
      "embodied_ai": false
    },
    {
      "id": "LLM-007",
      "name": "π0 (Pi-Zero)",
      "category": "VLA",
      "manufacturer": "Physical Intelligence",
      "type": "vision_language_action",
      "parameters": "unknown",
      "input": "text+image+proprioception",
      "output": "robot_actions",
      "robotics_use": [
        "general_purpose_manipulation",
        "laundry_folding",
        "assembly"
      ],
      "api_available": false,
      "open_source": false,
      "price": "N/A (limited_access)",
      "compatibility": [
        "multiple_robots"
      ],
      "embodied_ai": true
    },
    {
      "id": "LLM-a1b2c3",
      "name": "墨茵机器人",
      "developer": "奇瑞",
      "parameters": "220台批量投产",
      "description": "奇瑞自研的机器人，完成220台批量投产并获欧盟CE机械安全认证",
      "robot_integration": "投用在自有整车生产线，开展内饰配件转运与预装作业",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-d4e5f6",
      "name": "乐聚机器人",
      "developer": "乐聚",
      "parameters": "规模化生产",
      "description": "依托佛山规模化产线生产的机器人",
      "robot_integration": "应用于人形机器人领域",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-g7h8i9",
      "name": "宇树机器人",
      "developer": "宇树",
      "parameters": "IPO落地",
      "description": "国产头部人形机器人企业，有望在2026年上半年实现IPO落地",
      "robot_integration": "为人形机器人量产筑牢根基",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-j0k1l2",
      "name": "AI芯片",
      "developer": "未指定",
      "parameters": "逐鹿战升级",
      "description": "十大科技市场趋势之一，AI芯片竞争升级",
      "robot_integration": "应用于机器人领域",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-m3n4o5",
      "name": "人形机器人",
      "developer": "未指定",
      "parameters": "销量增长133%",
      "description": "2025年中国人形机器人销量预计增长133%，达到28000台",
      "robot_integration": "应用于多个领域",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-p6q7r8",
      "name": "人形机器人",
      "developer": "未指定",
      "parameters": "中美共振",
      "description": "2026年人形机器人从政策端和产业端有望实现中美共振",
      "robot_integration": "板块迎来主升浪",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-s9t0u1",
      "name": "机器人新技术",
      "developer": "未指定",
      "parameters": "创新应用",
      "description": "2025世界机器人大会主论坛聚焦创新应用，分享机器人新技术",
      "robot_integration": "应用于机器人领域",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-v2w3x4",
      "name": "辅助驾驶",
      "developer": "未指定",
      "parameters": "十大科技市场",
      "description": "十大科技市场领域之一",
      "robot_integration": "应用于机器人领域",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-y5z6a7",
      "name": "AR眼镜",
      "developer": "未指定",
      "parameters": "十大科技市场",
      "description": "十大科技市场领域之一",
      "robot_integration": "应用于机器人领域",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-b8c9d0",
      "name": "消费电子",
      "developer": "未指定",
      "parameters": "十大科技市场",
      "description": "十大科技市场领域之一",
      "robot_integration": "应用于机器人领域",
      "last_updated": "2026-06-27T15:56:25.853Z"
    },
    {
      "id": "LLM-a3b7c9",
      "name": "GPT-4",
      "developer": "OpenAI",
      "parameters": "1.76 trillion",
      "description": "Advanced multimodal AI model capable of understanding and generating human-like text.",
      "robot_integration": "Used in robot control systems, natural language processing for human-robot interaction, and decision-making algorithms.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    },
    {
      "id": "LLM-d4e8f2",
      "name": "BERT",
      "developer": "Google",
      "parameters": "110 million",
      "description": "Bidirectional Encoder Representations from Transformers, pre-trained on large text corpora.",
      "robot_integration": "Applied in robot perception systems for understanding natural language commands and context-aware responses.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    },
    {
      "id": "LLM-g5h1j3",
      "name": "LLaMA",
      "developer": "Meta",
      "parameters": "65 billion",
      "description": "Large Language Model Meta AI, designed for research and industrial applications.",
      "robot_integration": "Utilized in robot planning and task generation, particularly in collaborative robotics scenarios.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    },
    {
      "id": "LLM-k6m4n5",
      "name": "PaLM",
      "developer": "Google",
      "parameters": "540 billion",
      "description": "Pathways Language Model, capable of handling complex reasoning and generation tasks.",
      "robot_integration": "Integrated into robot learning frameworks for adaptive behavior and complex task execution.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    },
    {
      "id": "LLM-p7q8r9",
      "name": "Claude",
      "developer": "Anthropic",
      "parameters": "100 billion",
      "description": "Constitutional AI model focused on safety and alignment with human values.",
      "robot_integration": "Deployed in safety-critical robotic systems to ensure ethical decision-making and human oversight.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    },
    {
      "id": "LLM-s2t3u4",
      "name": "Falcon",
      "developer": "TII",
      "parameters": "180 billion",
      "description": "Open-source large language model with strong performance across multiple benchmarks.",
      "robot_integration": "Used in robot control interfaces and multi-agent robotic systems for coordinated tasks.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    },
    {
      "id": "LLM-v5w6x7",
      "name": "Mistral",
      "developer": "Mistral AI",
      "parameters": "7 billion",
      "description": "Efficient and scalable language model optimized for performance and resource usage.",
      "robot_integration": "Applied in edge robotics for real-time processing and low-latency decision-making.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    },
    {
      "id": "LLM-y8z9a1",
      "name": "Gemini",
      "developer": "Google",
      "parameters": "1.5 trillion",
      "description": "Multimodal AI model designed for understanding and generating across text, code, and other modalities.",
      "robot_integration": "Enhances robot perception and interaction capabilities, particularly in human-robot collaboration.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    },
    {
      "id": "LLM-b2c3d4",
      "name": "XLNet",
      "developer": "Google/CMU",
      "parameters": "340 million",
      "description": "Generalized autoregressive pretraining for language understanding.",
      "robot_integration": "Supports robot natural language understanding and context-aware task planning.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    },
    {
      "id": "LLM-e5f6g7",
      "name": "RoBERTa",
      "developer": "Facebook AI",
      "parameters": "355 million",
      "description": "Robustly optimized BERT approach, trained with larger datasets and optimized training procedures.",
      "robot_integration": "Used in robot dialogue systems and semantic understanding for human-robot interaction.",
      "last_updated": "2026-06-27T15:57:53.020Z"
    }
  ]
}