Free-form production based on causal predictive models
US12346834B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 22, 2018 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Jan 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for determining control inputs to a manufacturing apparatus to manufacture a product are described. A processor may receive model data including initial state data indicating an initial state of an input material, a set of model control inputs, and target measurement data associated with a target product. The processor may learn a causal predictive model based on the target data. Each state of the causal predictive model may be based on an application of the model control inputs on a previous state of the causal predictive model. The processor may compare a final state of the causal predictive model with the target measurement data to determine a difference. The processor may determine, based on the difference, a set of control inputs to be assigned to one or more controls. The one or more controls may define a design of the manufacturing process of an end product.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.