Systems and methods for operating robots using object-oriented Partially Observable Markov Decision Processes
US11897140B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2019 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Jan 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method of operating a mobile robot to perform tasks includes representing a task in an Object-Oriented Partially Observable Markov Decision Process model having at least one belief pertaining to a state and at least one observation space within an environment, wherein the state is represented in terms of classes and objects and each object has at least one attribute and a semantic label. The method further includes receiving a language command identifying a target object and a location corresponding to the target object, updating the belief associated with the target object based on the language command, driving the mobile robot to the observation space identified in the updated belief, searching the updated observation space for each instance of the target object, and providing notification upon completing the task. In an embodiment, the task is a multi-object search task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.