feat: add entry from issue #10

Author: github-actions[bot]

README.md

@@ -3,11 +3,11 @@
 > 🤖 Physical AI (Robotics & Embodied AI) 분야의 오픈소스 모델, 데이터셋, 시뮬레이터를 체계적으로 정리한 큐레이션 리스트.
 > A curated list of open-source models, datasets, and simulators for Physical AI (Robotics & Embodied AI).
 
-[![Models](https://img.shields.io/badge/Models-12-blue)](https://pytorchkorea.github.io/Awesome-Physical-AI)
+[![Models](https://img.shields.io/badge/Models-13-blue)](https://pytorchkorea.github.io/Awesome-Physical-AI)
 [![Datasets](https://img.shields.io/badge/Datasets-10-green)](https://pytorchkorea.github.io/Awesome-Physical-AI)
 [![Simulators](https://img.shields.io/badge/Simulators-9-purple)](https://pytorchkorea.github.io/Awesome-Physical-AI)
-[![Organizations](https://img.shields.io/badge/Organizations-27-orange)](https://pytorchkorea.github.io/Awesome-Physical-AI)
-[![Updated](https://img.shields.io/badge/Updated-2026-05-03-lightgrey)](https://github.com/PyTorchKorea/Awesome-Physical-AI)
+[![Organizations](https://img.shields.io/badge/Organizations-28-orange)](https://pytorchkorea.github.io/Awesome-Physical-AI)
+[![Updated](https://img.shields.io/badge/Updated-2026-05-06-lightgrey)](https://github.com/PyTorchKorea/Awesome-Physical-AI)
 [![Dashboard](https://img.shields.io/badge/🌐_Dashboard-Live-brightgreen)](https://pytorchkorea.github.io/Awesome-Physical-AI)
 
 > **[👉 인터랙티브 대시보드에서 필터링 및 시각화 보기 | View Interactive Dashboard](https://pytorchkorea.github.io/Awesome-Physical-AI)**
@@ -42,6 +42,7 @@
 | [RoboFlamingo](https://github.com/RoboFlamingo/RoboFlamingo) | ByteDance | 2023 | manipulation | manipulator | VLA | 429 | [📄](https://arxiv.org/abs/2311.01378)  |
 | [GR-1](https://github.com/bytedance/GR-1) | BAAI / Beijing Academy of AI | 2024 | manipulation | manipulator | VLA, IL | 310 | [📄](https://arxiv.org/abs/2312.13139)  |
 | [CrossFormer](https://github.com/rail-berkeley/crossformer) | UC Berkeley / others | 2024 | manipulation | manipulator, mobile | IL, VLA | 281 | [📄](https://arxiv.org/abs/2408.11812) [🤗](https://huggingface.co/rail-berkeley/crossformer) |
+| [RoboVLMs](https://github.com/Robot-VLAs/RoboVLMs) | Multiple | 2025 | manipulation | manipulator | VLA, IL | 0 | [📄](https://arxiv.org/abs/2412.14058) [🤗](https://huggingface.co/robovlms/RoboVLMs) |
 
 ---
 

data/models.yaml

@@ -386,3 +386,33 @@
   - cross-embodiment
   - generalist
   - transformer
+- id: robovlms
+  name: RoboVLMs
+  org: Multiple
+  year: 2025
+  description_en: A vision-language-action framework for robotics that integrates
+    visual perception and language understanding to generate end-to-end manipulation
+    policies from multimodal inputs.
+  description_ko: 이미지와 자연어를 입력으로 받아 로봇의 행동을 직접 생성하는 vision-language-action 기반의 엔드투엔드(end-to-end)
+    로봇 정책 모델입니다.
+  github_url: https://github.com/Robot-VLAs/RoboVLMs
+  paper_url: https://arxiv.org/abs/2412.14058
+  hf_url: https://huggingface.co/robovlms/RoboVLMs
+  project_url: https://robovlms.github.io/
+  categories:
+  - manipulation
+  hardware:
+  - manipulator
+  learning:
+  - VLA
+  - IL
+  framework:
+  - pytorch
+  communication: []
+  stats:
+    github_stars: 0
+    github_forks: 0
+    hf_downloads: 0
+    last_updated: '2026-05-06'
+  added_date: '2026-05-06'
+  tags: []

docs/data.json

@@ -1,10 +1,10 @@
 {
   "metadata": {
-    "last_updated": "2026-05-03",
-    "total_models": 12,
+    "last_updated": "2026-05-06",
+    "total_models": 13,
     "total_datasets": 10,
     "total_tools": 9,
-    "total_orgs": 27
+    "total_orgs": 28
   },
   "models": [
     {
@@ -480,6 +480,40 @@
         "generalist",
         "transformer"
       ]
+    },
+    {
+      "id": "robovlms",
+      "name": "RoboVLMs",
+      "org": "Multiple",
+      "year": 2025,
+      "description_en": "A vision-language-action framework for robotics that integrates visual perception and language understanding to generate end-to-end manipulation policies from multimodal inputs.",
+      "description_ko": "이미지와 자연어를 입력으로 받아 로봇의 행동을 직접 생성하는 vision-language-action 기반의 엔드투엔드(end-to-end) 로봇 정책 모델입니다.",
+      "github_url": "https://github.com/Robot-VLAs/RoboVLMs",
+      "paper_url": "https://arxiv.org/abs/2412.14058",
+      "hf_url": "https://huggingface.co/robovlms/RoboVLMs",
+      "project_url": "https://robovlms.github.io/",
+      "categories": [
+        "manipulation"
+      ],
+      "hardware": [
+        "manipulator"
+      ],
+      "learning": [
+        "VLA",
+        "IL"
+      ],
+      "framework": [
+        "pytorch"
+      ],
+      "communication": [],
+      "stats": {
+        "github_stars": 0,
+        "github_forks": 0,
+        "hf_downloads": 0,
+        "last_updated": "2026-05-06"
+      },
+      "added_date": "2026-05-06",
+      "tags": []
     }
   ],
   "datasets": [