Vehicle Crew Operations and Maintenance Assistant

Digital assistants represent a set of artificial intelligence capabilities utilizing natural language capabilities that reduce user cognitive burden through task automation and information processing. While digital assistants can be utilized to assist NASA analysts and engineers in performing many different functions (e.g., requirements verification, literature review, Qamp;A), our proposal focuses on helping NASA vehicle crew members answer routine operations and maintenance queries by monitoring system status using sensor data, telemetry, component outputs, and other real-time data. To support this goal, we propose the Vehicle Crew Operations and Maintenance Assistant (VeCOMA) in direct support of the TX11.4.7 Digital Assistant subsection of the 2020 NASA Technology Taxonomy. The goal of VeCOMA is not to replace Mission Control Center (MCC) guidance, but rather to provide course of action (COA) assistance to crew members using a multi-criteria decision making approach, which incorporates a dialog system and automated data ingest and formatting process. VeCOMA will help NASA vehicle operators in identifying issues in operation, finding their solutions in existing documentation through a comprehensive documentation database, and recommending a course of action to the operators accordingly.