Motphys builds high-performance infrastructure for physics simulation, robot learning, and embodied AI.
Our open-source projects span the full development loop—from accurate, efficient simulation to scalable training and real-world deployment:
- MotrixSim — a high-performance physics simulation engine for multibody dynamics and robotics.
- MotrixLab — an open-source reinforcement learning framework for training and deploying robot policies.
- UniLab — infrastructure for robot learning across physics backends, compute platforms, and hardware.
We are building the tools that help researchers and engineers develop, evaluate, and deploy intelligent robots—from virtual worlds to the real world.
| Project | Description |
|---|---|
| MotrixSim | Physics simulation for multibody dynamics and robotics |
| MotrixSim Documentation | Guides, API references, and examples |
| MotrixLab | Robot reinforcement learning and sim-to-real deployment |
| UniLab | Cross-backend infrastructure for robot learning |
- Reliable and high-performance physics simulation
- Scalable robot learning and reinforcement learning
- Reproducible sim-to-real workflows
- Open tools for embodied AI research and development
Contributions, ideas, and collaboration are welcome.