The number of robotic entities becoming available for military operations is increasing dramatically and their capabilities are evolving at a rapid pace. As the military begins to use automated planning technologies for the efficient use of these increasingly complex resources they will be plagued with the same modeling problems as NASA. Our technology will again serve as a unifying framework to capture military domain models for use across a variety of automated technologies used for the generation of efficient plans that integrate human and robotic units. We also see a need for domain ontologies to support the use of procedures and planning in operations such as refineries, chemical plants, nuclear and other power plants and any installation that has established standard operating procedures that must be carefully followed under often stressful situations. As these industries move to electronic procedures tied to system telemetry and integrated with planning for more efficient and safer operations, they will require our ontological framework to maintain a consistent representation of their domains.
Procedures are at the core of all NASA missions, especially human space missions. Mission planning is also at the core of all space missions due to the high cost of space assets such as astronauts, equipment and communication links. Since domain models are essential to both generating plans and executing procedures, our technologies will have applications across many NASA programs, from Mission Control to on-board NASA vehicles and outposts. We expect applications of our technology to first of all impact ISS operations by helping to unify not only planning and scheduling programs, but also disparate research programs through a common set of domain models and concepts. Our work will provide connection to automated planning technologies development through the Automation for Operations (A4O) project run out of NASA ARC. We will work closely with Dr. Jeremy Frank at NASA ARC during Phase 1 to ensure our relevance to the A4O projects. More important, the domain ontologies along with their mappings to ISS data sets can be the way in which some of their dispersed knowledge is consolidated and managed.