System and method for transforming mission models from plan goal graph to Bayesian network for autonomous system control
AssigneeThe Boeing Company
InventorsGuijun Wang, Changzhou Wang
Life of this patent
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Abstract
A method and system operable to perform the method is provided for control of an autonomous or unmanned system. The method includes obtaining a mission model, wherein the mission model comprises a goal and one or more assets that are used to accomplish the goal; producing, by a first hardware processor, a plan goal graph (PGG) model based on the mission model; transforming, by a second hardware processor, the PGG model into a Bayesian Network (BN) model; computing a feasibility to execute a plan and an achievability of accomplishing the goal; and providing control instructions to the one or more assets to be used to accomplish the goal.
Claims21
A method for control of an autonomous or unmanned system comprising:
- obtaining a mission model, wherein the mission model comprises a goal and one or more assets that are used to accomplish the goal;
- producing by a first hardware processor, a plan goal graph (PGG) model based on the mission model, wherein the PGG comprises the goal represented as a first parent node and one or more alternative plans to achieve the goal utilizing the one or more assets represented as one or more first child nodes to the first parent node, wherein the first parent node is connected to each of the one or more first child nodes by one or more first directed arcs;
- transforming, by a second hardware processor, the PGG model into a Bayesian Network (BN) model;
- computing a feasibility to execute a plan and an achievability of accomplishing the goal;
- and
- providing control instructions to the one or more assets to be used to accomplish the goal.
A computing system comprising:
- at least one hardware processor;
- a non-transitory computer-readable medium storing instruction, that when executed by the at least one hardware processor, perform a method for control of an autonomous or unmanned system, the method comprising:
- obtaining a mission model, wherein the mission model comprises a goal and one or more assets that are used to accomplish the goal;
- producing a plan goal graph (PGG) model based on the mission model, wherein the PGG (100) comprises the goal represented as a first parent node and one or more alternative plans to achieve the goal utilizing the one or more assets represented as one or more first child nodes to the first parent node, wherein the first parent node is connected to each of the one or more first child nodes by one or more first directed arcs;
- transforming the PGG model into a Bayesian Network (BN) model;
- computing a feasibility to execute a plan and an achievability of accomplishing the goal;
- and
- providing control instructions to the one or more assets to be used to accomplish the goal.
Dependencies are inferred from the claim text.