Robot hardware
A reliable platform for real-world execution
Test in simulation.
Then test on site.
Test robot policies with scene reconstruction and physics simulation, then review and refine them using field data.
3D world generation
Build repeatable validation environments
Simulation & model training
Iterate strategies in virtual tasks
Real-world task data
Feed task data back to improve capability
How hardware, simulation and task software work together.
The architecture connects robot hardware, training environments, control systems and applications.
Industry applications
Solutions for real-world industries
Intelligent systems
Multimodal perception and task control
Simulation & data
Verifiable, iterative training and evaluation
Data flywheel
Real-world task data keeps improving models, hardware and industry applications.
Field feedback.
Better hardware and models.
Better hardware and models.
Validate robotic capabilities against site conditions and task goals.
Capture the real site
Collect LiDAR, camera and IMU data for reconstruction.
3DGS / NeRF reconstruction
Reconstruct scene geometry and surface textures from captured data.
World-model expansion
Vary layouts, materials, lighting and weather to create training scenarios.
Physics simulation
Use MuJoCo / PhysX for contact, dynamics and sensor simulation.
Robot training & validation
Iteratively validate reinforcement learning, task planning and inspection policies.
Reusable digital assets
- High-fidelity scenes
- Trainable task sets
- Verifiable safety limits
- Reusable test data