Automation and autonomy technologies, such as automated planning software, are key elements in realizing the vision for space exploration. However, the major stumbling block to realizing the widespread use of automation tools for operations is capturing and maintaining the domain models -- the object types and subtypes, relationships among them and operational constraints -- needed to support such techniques. Our success in Phase 1 showed that it is possible for subject matter experts (SMEs) to author ISS model information to produce a consistent model useful for planning, scheduling and procedure execution. In this Phase 2 proposal we aim to fully develop the authoring and data integration portions of our design and to integrate the resulting models with our interactive planning aid for flight controllers. The benefits for NASA operations are that the resulting modeling framework will 1) make available a consistent domain model that need not be reproduced for each automation project, unify the often disparate sources of EVA and Core Systems information, provide for rapid update of ISS configuration information, thus allowing automation applications to provide results based on the most recent data, provide a consistent view of the domain so as to minimize error in authoring procedural data.

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 an early application of our technology – the ORU Location (ORLOC) tool – will streamline future EVA/Robotics missions by providing a single source of data on the location and status of external ORUs. Our models will also unify disparate research programs through a common set of domain models and concepts. Our work will provide connection to automated planning and procedure technology development through the Automation for Mission Operations (AMO) project run out of NASA ARC and the joint ARC/JSC Mission Control Technologies (MCT) program.

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.