Data-driven robot control
US11712799B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2020 |
| Grant date | Aug 1, 2023 |
| Priority date | — |
| Expiry date | Feb 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/092
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for data-driven robotic control. One of the methods includes maintaining robot experience data; obtaining annotation data; training, on the annotation data, a reward model; generating task-specific training data for the particular task, comprising, for each experience in a second subset of the experiences in the robot experience data: processing the observation in the experience using the trained reward model to generate a reward prediction, and associating the reward prediction with the experience; and training a policy neural network on the task-specific training data for the particular task, wherein the policy neural network is configured to receive a network input comprising an observation and to generate a policy output that defines a control policy for a robot performing the particular task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.