Machine learning model for task and motion planning
US12390926B2 · kind B2 · utility
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37Claims
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Key dates
| Filing date | Oct 28, 2020 |
| Grant date | Aug 19, 2025 |
| Priority date | — |
| Expiry date | Oct 28, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatuses, systems, and techniques are described that solve task and motion planning problems. In at least one embodiment, a task and motion planning problem is modeled using a geometric scene graph that records positions and orientations of objects within a playfield, and a symbolic scene graph that represents states of objects within context of a task to be solved. In at least one embodiment, task planning is performed using symbolic scene graph, and motion planning is performed using a geometric scene graph.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.