HANDS-ON SIMULATION TO REALITY ROBOTICS

A sim2real sprint for robotics teams. Your engineers train a policy in simulation, then put it on a real car and watch it drive itself.

As seen on Livestream

The Sim-to-Real Bridge

Train a policy in simulation. Run that same policy on a physical car.

A policy that looks flawless in sim can fall apart the moment it touches the real world. The Bridge closes that gap: a pre-built environment your team trains in, and a deployment that puts the policy straight onto the car.

GOAT RACER ONE digital twin on a track in NVIDIA Isaac Sim
Digital twin in Isaac Sim
Policy training in sim
Domain randomization

What your team takes away

A repeatable train-in-sim, deploy-to-hardware flow. The work that gets a policy around a track is the same work behind a warehouse robot, a drone, or an inspection rover.

Standing that up alone burns weeks. We compress it into a sprint, so your engineers build policies instead of fighting infrastructure.

GOAT RACER ONE chassis packed in a foam-lined hard case
The car, cased and ready to ship
Intel RealSense depth stream
RealSense depth
LiDAR laser scan in RViz
LiDAR scan
RViz view of the car's sensor frames
Live in RViz

On the NVIDIA livestream

The same pipeline, walked through live with NVIDIA.

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