System and methods for training robot policies in the real world
US11992945B2 · kind B2 · utility
1Cited by
2References
17Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Nov 10, 2020 |
| Grant date | May 28, 2024 |
| Priority date | — |
| Expiry date | Aug 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed that enable training a plurality of policy networks, each policy network corresponding to a disparate robotic training task, using a mobile robot in a real world workspace. Various implementations include selecting a training task based on comparing a pose of the mobile robot to at least one parameter of a real world training workspace. For example, the training task can be selected based on the position of a landmark, within the workspace, relative to the pose. For instance, the training task can be selected such that the selected training task moves the mobile robot towards the landmark.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.