Industries · Logistics
Warehouse perception before the first deployment.
Autonomous mobile robots have to handle occlusion, changing rack layouts, and human coworkers on day one. Aurora simulates the warehouse — and everything that can go wrong in it — so fleets arrive already trained.
Perception schematic
world / amr_yard_11
Sensor stack
RGBDepthLiDARSegmentation2D boxes
The challenge
- Rack layouts change faster than data can be recollected
- Human coworkers create constant, unpredictable occlusion
- Edge cases (spills, fallen stock) are rare but costly
- Every new facility looks different from the training set
What Aurora provides
Coverage you cannot collect on the floor.
01
Procedural rack and aisle layouts with configurable density
02
People, forklifts, and AMRs as randomized dynamic actors
03
Occlusion and long-tail hazards generated on demand
04
Pixel-perfect segmentation and depth for every frame
Illustrative scenario
amr_yard_11
AMR navigation across shifting aisle layouts with human coworkers and partial occlusion.
Other industries
Get started
Bring Aurora to your logistics stack.
Tell us about the machines you are training and the environments they operate in. We will scope a synthetic-data plan with you.