Solutions · 04 · Industrial, Logistics & Smart Factory
The line cannot stop for data collection.
Manufacturers, warehouses and ports automating the flexible, high-mix work that fixed automation was never able to handle.
The problem
Traditional automation pays off when the part, the pose and the path never change. The work that is left over — mixed-SKU depalletising, cable routing, screw fastening on a non-standard fixture, picking something soft or transparent — changes constantly, and every site is laid out differently. You cannot halt a line for months of data collection, and a policy trained at one facility rarely survives the move to the next.
How the loop runs here
A digital twin of the actual site — CAD of the cell, the real SKUs, the real lighting — becomes the source of training data, built without touching the production line.
Manipulation and navigation policies trained against that twin, then hardened with domain randomisation so they survive the gap between the model of the site and the site.
Full-shift simulated runs and AMR fleet behaviour before a robot is installed, including the failure modes that only appear when several robots share a floor.
What we provide
- Project-shaped capacity: a burst per site or product line, then a steady trickle
- Digital-twin generation from the CAD you already have
- Re-training runs when the line changes, without rebuilding from scratch
- Results that transfer between sites rather than starting over at each one
Industry context
The humanoid robot market is projected to reach US$38 billion by 2035 — more than a sixfold increase over previous forecasts — and the industrial floor is where most of those units are aimed.
Source: NVIDIA Blog