High-Quality Open-Source Codebases for Embodied Intelligence

StarRobotics is an open-source organization dedicated to advancing embodied intelligence through modular, production-quality codebases. We believe the future of robotics lies in open collaboration — every component, from perception to action, should be transparent, reproducible, and easy to build upon.

"Making embodied intelligence development as easy as building with Lego blocks."

StarRobotics/
├── StarVLA       # VLA: vision + language → action
├── StarWA        # WA:  world model → action planning
└── StarBot       # Bot: generic embodied robot platform

A Lego-like Codebase for Vision-Language-Action Model Developing

StarVLA provides a modular framework for developing VLA models with plug-and-play components. Each functional module (model, data, trainer, config, evaluation) follows high cohesion & low coupling principles.

Highlights:

• 4 VLA frameworks: Qwen-FAST, Qwen-OFT, Qwen-PI, Qwen-GR00T
• Multiple VLM backbones: Qwen2.5-VL, Qwen3-VL, Florence-2
• Benchmark support: SimplerEnv, LIBERO, RoboCasa, and more
• VLM co-training for multimodal multitask learning
• DeepSpeed ZeRO-2/3 & multi-node training
• Stand up a new VLA framework in < 3 hours

📦 GitHub · 🤗 Models & Data

Learning to Act through World Simulation

StarWA focuses on world model–driven action prediction: learning a predictive model of the environment and leveraging it for embodied decision-making. By combining visual world simulation with action planning, StarWA enables robots to reason about consequences before acting.

Planned Features:

• Video prediction / visual world models
• Latent dynamics learning
• Action planning via model-based rollouts
• Integration with StarVLA for hybrid VLA + WA pipelines
• Sim-to-real transfer utilities

📦 Coming Soon

One Stack, Every Robot

StarBot aims to be a unified, robot-agnostic control stack that supports diverse embodiments — from tabletop manipulators to humanoids and mobile platforms.

Planned Features:

• Generic robot interface abstraction
• Multi-embodiment configuration system
• Real-world deployment utilities (policy server, safety layers)
• Cross-embodiment transfer tools
• Hardware drivers & calibration for common platforms

📦 Coming Soon

• StarVLA v1: core VLA framework release
• 4 VLA architectures (FAST, OFT, PI, GR00T)
• SimplerEnv & LIBERO & Robocasa-GR1 & Robotwin 2.0 evaluation
• VLM co-training support

• StarVLA v2: expanded benchmarks & new architectures
• StarWA v0: initial world-action model codebase
• StarBot v0: generic robot platform prototype
• Cross-repo integration (VLA ↔ WA pipelines)
• Real-world deployment toolkit

• Foundation model for general-purpose embodied agents
• Community benchmark & leaderboard
• Sim-to-real bridge across all repos

All StarRobotics codebases share a common set of principles:

We welcome contributions across all repos:

1. Report bugs — Open an Issue with a minimal repro.
2. Propose features — Start a Discussion or fill out the Cooperation Form.
3. Submit PRs — Align scope via an Issue first, then make check before submitting.
4. Join office hours — Every Friday afternoon for live discussion.

@misc{starrobotics2025,
  title  = {StarRobotics: High-Quality Open-Source Codebases for Embodied Intelligence},
  author = {StarRobotics Community},
  url    = {https://github.com/StarRobotics},
  year   = {2025}
}

@misc{starvla2025,
  title  = {StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing},
  author = {StarVLA Community},
  url    = {https://github.com/StarRobotics/StarVLA},
  year   = {2025}
}

All StarRobotics projects are released under the MIT License — free for commercial use, modification, and distribution.

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Building the open-source infrastructure for embodied intelligence, one repo at a time.