Selected work

Moravec

A 3D engine where robotic AI learns before the prototype exists.

SectorRobotics
Year2024
Duration14 months
Moravec
The challenge

Training a robotic intelligence takes the hardware it will run on. Every iteration goes through a physical prototype, and every prototype costs months and budget before anyone knows whether the behaviour works.

Our approach

We built a simulator where the robot, its sensors and its environment exist as a physical model: teams train and check their policies there, across thousands of parallel runs, and take into the real world only what has already passed.

The outcome

The prototype stops being the first step and becomes the last: hardware gets built to confirm a behaviour already proven, not to discover it.

Results
−80%cost of a single training iteration
12ksimulation runs in parallel, every night
iterations per week against a physical rig
Next caseSolovay

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