Adapting simulation data to real-world conditions encountered by physical processes
US10751879B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2018 |
| Grant date | Aug 25, 2020 |
| Priority date | — |
| Expiry date | May 31, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One embodiment of the present invention sets forth a technique for controlling the execution of a physical process. The technique includes receiving, as input to a machine learning model that is configured to adapt a simulation of the physical process executing in a virtual environment to a physical world, simulated output for controlling how the physical process performs a task in the virtual environment and real-world data collected from the physical process performing the task in the physical world. The technique also includes performing, by the machine learning model, one or more operations on the simulated output and the real-world data to generate augmented output. The technique further includes transmitting the augmented output to the physical process to control how the physical process performs the task in the physical world.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.