Intelligent, Autonomous Spacecraft Operations Management System

MAESTRO (Management of manned spacecraft operations through intelligent, AdaptivE, autonomouS, faulT identification and diagnosis, Reconfiguration/replanning/rescheduling Optimization) substantially leverages previous NASA investments to assemble the correct set of technologies to implement all aspects of the intelligent, semi-autonomous spacecraft operations manager. We have significant experience in all of the required technologies and have already integrated them into a general MAESTRO architecture designed to be easily applied to all spacecraft subsystems.The eventual, ultimate goal is the ability of astronauts and a semi-autonomous, intelligent onboard system to easily manage all spacecraft operations through the development of MAESTRO, which can easily interface to the various systems of a variety of spacecraft. MAESTRO must be sufficiently powerful, general, and computationally efficient and be easily adapted by developers. This will be accomplished using open standards, clearly defined open interfaces, use of Open Source software, and leveraging several previous NASA investments.The Phase I research goals are to explore the various spacecraft subsystem domains, elaborate the AI techniques useful for subsystem characterization, diagnosis, and replanning/rescheduling/adaptive execution/safing, prove the feasibility of these techniques through prototype development, and develop a complete system specification for the Phase II MAESTRO system.