Sequence-to-sequence language grounding of non-Markovian task specifications
US11034019B2 · kind B2 · utility
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4Claims
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Key dates
| Filing date | Apr 18, 2019 |
| Grant date | Jun 15, 2021 |
| Priority date | — |
| Expiry date | May 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/223
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes enabling a robot to learn a mapping between English language commands and Linear Temporal Logic (LTL) expressions, wherein neural sequence-to-sequence learning models are employed to infer a LTL sequence corresponding to a given natural language command.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.