12. Technology Categories for the Capability, Mission Autonomy Delivery of Products Autonomous Mission Smart Monitoring, Technology Event Detection Multi-Asset via Autonomous Planning & Failure Analysis, Category and Tracking Coordination Space/Ground Scheduling and Recovery Coupled Systems Data and Information Systems Management, Data Systems Management, Data Systems Management, Data Transmission and Technology Area Production, Data and Information Production, Collection and Handing Collection and Handing Dissemination Collection and Handling Data Collection & Handling Hierarchical Control, Market Machine-Learning, Hybrid Approaches, Machine Learning-Based, Oriented, Distributed Control Based (Physics), Traditional Workflow Engines, Technology Operations Research, Physics-Based, (Emergent Behavior) Limit-Based, Services, and Semantic Web Alternatives AI-Based Approaches Based Approaches Evolutionary Bayesian/Probabilistic Approaches Approaches Approaches Perform science while Detecting and tracking of Support to automatically Enable continuous Ability to request custom data respecting mission operation events that feed into negotiate multiple system operations despite hardware products fulfilled constraints including retasking. continuous part of planning and spacecraft resources to and software failures and autonomously by tasking, Note that "search, access, process support observation more rapid recovery from the data processing, etc. analysis, and display (data objectives (e.g. Sensor above. Ability of system to Description mining) could be enhanced by Webs) detect and correct for this capability where one could instrument anomalies resolve missing data by making amenable to autonomous autonomous requests to changes in observation plan. spacecraft assets. TRL Assessment TRL in 2010 6 4 3 2 5 Intermediate TRL 7 5 5 6 7 Intermediate Date 2015 2015 2018 2017 2014 Intermediate Success Criteria 8 7 7 8 8 Exit TRL
Based 12. Technology Categories for the Capability, Mission Autonomy Technology Category Autonomous Mission Planning & Scheduling Event Detection and Tracking Multi-Asset Coordination Smart Monitoring, Failure Analysis, and Recovery Delivery of Products via Autonomous Space/Ground Coupled Systems Technology Area Systems Management, Data Collection and Handing Data and Information Production, Data Collection and Handling Systems Management, Data Collection and Handing Systems Management, Data and Information Production, Data Collection & Handling Transmission and Dissemination Technology Alternatives Hybrid Approaches, Operations Research, AI-Based Approaches Machine Learning-Based, Physics-Based, Approaches Hierarchical Control, Market Oriented, Distributed Control (Emergent Behavior) Evolutionary Approaches Machine-Learning, (Physics), Traditional Limit-Based, Bayesian/Probabilistic Approaches Workflow Engines, and Semantic Web Approaches Description Perform science while respecting mission operation constraints including retasking. Note that "search, access, analysis, and display (data mining) could be enhanced by this capability where one could resolve missing data by making autonomous requests to spacecraft assets. Detecting and tracking of events that feed into continuous part of planning process Support to automatically negotiate multiple system and spacecraft resources to support observation objectives (e.g. Sensor Webs) Enable continuous operations despite hardware and software failures and more rapid recovery from the above. Ability of system to detect and correct for instrument anomalies amenable to autonomous changes in observation plan. Ability to request custom data products fulfilled autonomously by tasking, data processing, etc. TRL Assessment TRL in 2010 6 4 3 2 5 Intermediate TRL 7 5 5 6 7 Intermediate Date 2015 2015 2018 2017 2014 Intermediate Success Criteria Exit TRL 8 7 7 8 8 Services, Based
2010_AIST%20Workshop_Final_Report.docx