fix: remove duplicate open-pi-zero entry and fix chart rendering

- Remove open-pi-zero (same GitHub repo as pi0 / Physical-Intelligence/openpi)
- Merge HF URL and open-weights tag into pi0 entry
- Embed data inline in index.html via generate_site.py (fixes chart blank issue)
- Switch chart init from $nextTick to $watch('models') for reliability
- Add Chart.js guard in buildCharts()

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: jih0-kim

README.md

@@ -3,7 +3,7 @@
 > 🤖 Physical AI (Robotics & Embodied AI) 분야의 오픈소스 모델과 데이터셋을 체계적으로 정리한 큐레이션 리스트.
 > A curated list of open-source models and datasets for Physical AI (Robotics & Embodied AI).
 
-[![Models](https://img.shields.io/badge/Models-15-blue)](https://pytorchkorea.github.io/Awesome-Physical-AI)
+[![Models](https://img.shields.io/badge/Models-14-blue)](https://pytorchkorea.github.io/Awesome-Physical-AI)
 [![Datasets](https://img.shields.io/badge/Datasets-10-green)](https://pytorchkorea.github.io/Awesome-Physical-AI)
 [![Organizations](https://img.shields.io/badge/Organizations-21-orange)](https://pytorchkorea.github.io/Awesome-Physical-AI)
 [![Updated](https://img.shields.io/badge/Updated-2026-04-19-lightgrey)](https://github.com/PyTorchKorea/Awesome-Physical-AI)
@@ -30,8 +30,7 @@
 |------|-------------|------|----------|----------|----------|---------|-------|
 | [Genesis](https://github.com/Genesis-Embodied-AI/Genesis) | Genesis Authors (MIT/CMU/Stanford) | 2024 | manipulation, locomotion, navigation | manipulator, humanoid, quadruped, mobile, drone | RL, sim2real | 28,523 | [📄](https://arxiv.org/abs/2501.00599)  |
 | [LeRobot](https://github.com/huggingface/lerobot) | Hugging Face | 2024 | manipulation | manipulator | IL, diffusion, VLA | 23,337 | [📄](https://arxiv.org/abs/2408.01730) [🤗](https://huggingface.co/lerobot) |
-| [π0 (pi-zero)](https://github.com/Physical-Intelligence/openpi) | Physical Intelligence | 2024 | manipulation, whole-body | manipulator, humanoid | VLA, diffusion | 11,365 | [📄](https://arxiv.org/abs/2410.24164) [🤗](https://huggingface.co/physical-intelligence) |
-| [openpi (π0 Open Implementation)](https://github.com/Physical-Intelligence/openpi) | Physical Intelligence | 2025 | manipulation, dexterous | manipulator, humanoid | VLA, diffusion | 11,365 | [📄](https://arxiv.org/abs/2410.24164) [🤗](https://huggingface.co/physical-intelligence/pi0) |
+| [π0 (pi-zero)](https://github.com/Physical-Intelligence/openpi) | Physical Intelligence | 2024 | manipulation, whole-body | manipulator, humanoid | VLA, diffusion | 11,365 | [📄](https://arxiv.org/abs/2410.24164) [🤗](https://huggingface.co/physical-intelligence/pi0) |
 | [Isaac Lab](https://github.com/isaac-sim/IsaacLab) | NVIDIA | 2023 | manipulation, locomotion, navigation | manipulator, humanoid, quadruped, mobile | RL, IL, sim2real | 6,962 | [📄](https://arxiv.org/abs/2301.04195)  |
 | [GR00T N1](https://github.com/NVIDIA/Isaac-GR00T) | NVIDIA | 2025 | manipulation, whole-body | humanoid | VLA, IL | 6,729 | [📄](https://arxiv.org/abs/2503.14734) [🤗](https://huggingface.co/nvidia/GR00T-N1-2B) |
 | [OpenVLA](https://github.com/openvla/openvla) | Stanford / UC Berkeley | 2024 | manipulation | manipulator | VLA | 5,936 | [📄](https://arxiv.org/abs/2406.09246) [🤗](https://huggingface.co/openvla/openvla-7b) |

data/models.yaml

@@ -39,7 +39,7 @@
   description_ko: 플로우 매칭 정책 기반의 범용 로봇 파운데이션 모델. 정교한 조작과 전신 제어를 지원합니다.
   github_url: https://github.com/Physical-Intelligence/openpi
   paper_url: https://arxiv.org/abs/2410.24164
-  hf_url: https://huggingface.co/physical-intelligence
+  hf_url: https://huggingface.co/physical-intelligence/pi0
   project_url: https://www.physicalintelligence.company/blog/pi0
   categories:
   - manipulation
@@ -64,6 +64,7 @@
   - foundation-model
   - flow-matching
   - dexterous
+  - open-weights
 - id: openvla
   name: OpenVLA
   org: Stanford / UC Berkeley
@@ -465,37 +466,3 @@
   - cross-embodiment
   - generalist
   - transformer
-- id: open-pi-zero
-  name: openpi (π0 Open Implementation)
-  org: Physical Intelligence
-  year: 2025
-  description_en: Open implementation of the π0 flow-matching policy for robotic manipulation.
-    Includes training code, pretrained checkpoints, and deployment tools.
-  description_ko: 로봇 조작을 위한 π0 플로우 매칭 정책 오픈 구현체. 학습 코드, 사전학습 체크포인트, 배포 도구를 포함합니다.
-  github_url: https://github.com/Physical-Intelligence/openpi
-  paper_url: https://arxiv.org/abs/2410.24164
-  hf_url: https://huggingface.co/physical-intelligence/pi0
-  project_url: https://www.physicalintelligence.company/blog/pi0
-  categories:
-  - manipulation
-  - dexterous
-  hardware:
-  - manipulator
-  - humanoid
-  learning:
-  - VLA
-  - diffusion
-  framework:
-  - jax
-  communication: []
-  stats:
-    github_stars: 11365
-    github_forks: 1782
-    hf_downloads: 0
-    last_updated: '2026-04-19'
-  added_date: '2025-01-17'
-  tags:
-  - flow-matching
-  - pi0
-  - open-weights
-  - dexterous

docs/data.json

@@ -1,7 +1,7 @@
 {
   "metadata": {
     "last_updated": "2026-04-19",
-    "total_models": 15,
+    "total_models": 14,
     "total_datasets": 10,
     "total_orgs": 21
   },
@@ -54,7 +54,7 @@
       "description_ko": "플로우 매칭 정책 기반의 범용 로봇 파운데이션 모델. 정교한 조작과 전신 제어를 지원합니다.",
       "github_url": "https://github.com/Physical-Intelligence/openpi",
       "paper_url": "https://arxiv.org/abs/2410.24164",
-      "hf_url": "https://huggingface.co/physical-intelligence",
+      "hf_url": "https://huggingface.co/physical-intelligence/pi0",
       "project_url": "https://www.physicalintelligence.company/blog/pi0",
       "categories": [
         "manipulation",
@@ -83,7 +83,8 @@
       "tags": [
         "foundation-model",
         "flow-matching",
-        "dexterous"
+        "dexterous",
+        "open-weights"
       ]
     },
     {
@@ -571,47 +572,6 @@
         "generalist",
         "transformer"
       ]
-    },
-    {
-      "id": "open-pi-zero",
-      "name": "openpi (π0 Open Implementation)",
-      "org": "Physical Intelligence",
-      "year": 2025,
-      "description_en": "Open implementation of the π0 flow-matching policy for robotic manipulation. Includes training code, pretrained checkpoints, and deployment tools.",
-      "description_ko": "로봇 조작을 위한 π0 플로우 매칭 정책 오픈 구현체. 학습 코드, 사전학습 체크포인트, 배포 도구를 포함합니다.",
-      "github_url": "https://github.com/Physical-Intelligence/openpi",
-      "paper_url": "https://arxiv.org/abs/2410.24164",
-      "hf_url": "https://huggingface.co/physical-intelligence/pi0",
-      "project_url": "https://www.physicalintelligence.company/blog/pi0",
-      "categories": [
-        "manipulation",
-        "dexterous"
-      ],
-      "hardware": [
-        "manipulator",
-        "humanoid"
-      ],
-      "learning": [
-        "VLA",
-        "diffusion"
-      ],
-      "framework": [
-        "jax"
-      ],
-      "communication": [],
-      "stats": {
-        "github_stars": 11365,
-        "github_forks": 1782,
-        "hf_downloads": 0,
-        "last_updated": "2026-04-19"
-      },
-      "added_date": "2025-01-17",
-      "tags": [
-        "flow-matching",
-        "pi0",
-        "open-weights",
-        "dexterous"
-      ]
     }
   ],
   "datasets": [