Sim-to-Real Transfer: Training Robots in Photorealistic Simulation
Training robots in the real world is expensive and dangerous. Our simulation platform enables safe, scalable robot learning.
The Reality Gap
Policies trained in simulation often fail when deployed because:
- Visual appearances differ
- Physics are simplified
- Sensor noise is missing
- Edge cases are rare
Our Solution: 7lineas-Sim
A comprehensive simulation platform featuring:
- Photorealistic rendering (path tracing)
- Accurate physics (contact, deformation, fluids)
- Procedural environment generation
- Domain randomization at scale
Technical Details
Rendering pipeline:
- 4K resolution at 120fps
- Ray-traced global illumination
- Subsurface scattering
- Physically-based materials
Physics engine:
- Position-based dynamics
- Finite element methods
- Differentiable simulation
- Multi-body contact
Transfer Results
| Task | Prior Methods | 7lineas-Sim |
|---|---|---|
| Grasping | 45% | 89% |
| Navigation | 62% | 94% |
| Manipulation | 23% | 71% |
| Assembly | 12% | 58% |
Applications
Currently deployed in:
- Warehouse automation
- Surgical robotics
- Autonomous vehicles
- Industrial inspection