Conversational systems and methods for robotic task identification using natural language
US11328726B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 1, 2020 |
| Grant date | May 10, 2022 |
| Priority date | — |
| Expiry date | Jan 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/40531
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure relates generally to human-robot interaction (HRI) to enable a robot to execute tasks that are conveyed in a natural language. The state-of-the-art is unable to capture human intent, implicit assumptions and ambiguities present in the natural language to enable effective robotic task identification. The present disclosure provides accurate task identification using classifiers trained to understand linguistic and semantic variations. A mixed-initiative dialogue is employed to resolve ambiguities and address the dynamic nature of a typical conversation. In accordance with the present disclosure, the dialogues are minimal and directed to the goal to ensure human experience is not degraded. The method of the present disclosure is also implemented in a context sensitive manner to make the task identification effective.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.