SSRobotics · Source Code Collection
Part of Humanoid Robot Hub · 🔎 Search all resources
VLA model projects, manipulation policies and humanoid embodied AI references.
โครงการ VLA, Policy สำหรับ Manipulation และ Embodied AI
Curated by SSRobotic — Robotics Engineer & Open-source Curator. This repository contains actual source files in projects/, with pinned upstream commits, retained licenses and an engineering guide. The imported implementations remain credited to their original creators.
106 tracked upstream files — เปิดโฟลเดอร์ด้านล่างเพื่อดูโค้ดจริง โมเดล และตัวอย่างต้นฉบับ
| Project files | Files | Pinned source | License / notices |
|---|---|---|---|
| openvla/openvla | 106 | c8f03f48af69 |
LICENSE |
Source manifest records commits, file counts, Git LFS pointers and external submodules. Per-file manifests record original Git blob hashes. projects/ keeps upstream code, README files, licenses and notices; SSRobotics supplies the organization and guides.
git clone --depth 1 https://github.com/SSRobotic/humanoid-vla.git
cd humanoid-vlaOpenVLA model code and training scripts are included. Pretrained weights, training datasets and a configured robot environment are acquired separately through the original project.
| Resource | What it provides | Keywords | Original source |
|---|---|---|---|
| XR-1 | Research code for vision-language-action models and unified vision-motion representations. | VLA, Embodied AI, Research | Open-X-Humanoid |
| HEX | Whole-body vision-language-action research for full-sized humanoids. | Humanoid, VLA, Whole-body | Open-X-Humanoid |
| X-Humanoid VLA Benchmark | Isaac Sim resources for evaluating vision-language-action policies. | VLA, Benchmark, Isaac Sim | Open-X-Humanoid |
| OpenPI | Physical Intelligence VLA models and training / inference code. | VLA, Policies, Training | Physical-Intelligence |
| OpenVLA | Vision-language-action models for robotic manipulation. | VLA, Manipulation, Policies | openvla |
- Read the model’s supported embodiments, action representation and checkpoint terms.
- Check its documented inference / fine-tuning setup and compute requirements.
- Evaluate on the project’s supported task before adapting to a new robot.
Read the engineering guide for a practical selection checklist. resources.json contains the structured entries.
🌐 Browse all 14 categories
🦾 Models & URDF · 🌐 Simulation · 🧠 Robot Learning · ⚙️ Whole-body Control · 👁️ Vision & 3D Perception · 🤏 Manipulation & Planning · 🎮 Teleoperation · 💾 Datasets & Demonstrations · 💬 Vision-Language-Action · 🔌 Hardware & SDKs · 📡 ROS & Integration · 📚 Research & Benchmarks · 🟢 Isaac Sim & Isaac Lab · 🧮 Robotics Algorithms
⭐ Star the Hub · 👤 Follow SSRobotic · 💡 Suggest a resource
Contribute accurate descriptions and original source links through the Hub contribution guide. Source terms, model compatibility and dataset access conditions remain with each upstream project.