Mitigating reality gap through feature-level domain adaptation in training of vision-based robot action model
US12333787B2 · kind B2 · utility
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Key dates
| Filing date | Nov 14, 2022 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Sep 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Implementations disclosed herein relate to mitigating the reality gap through feature-level domain adaptation in training of a vision-based robotic action machine learning (ML) model. Implementations mitigate the reality gap through utilization of embedding consistency losses and/or action consistency losses during training of the action ML model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.