STOTTLER HENKE ASSOCIATES, INC — National Aeronautics and Space Administration SBIR Phase I: H6

Description

<p style="margin-left:0in; margin-right:0in">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.&nbsp; 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.</p><p style="margin-left:0in; margin-right:0in">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.&nbsp; This will be accomplished using open standards, clearly defined open interfaces, use of Open Source software, and leveraging several previous NASA investments.&nbsp;</p><p style="margin-left:0in; margin-right:0in">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.</p>