Autonomous Science and Technology for Responsive Adaptation (ASTRA)
Description
The ASTRA team is working to develop and mature capabilities for extensibility and science autonomy. Extensibility would give us the ability to add and collaborate among multi-organizational assets to form a new, distributed and disaggregated mission. Our onboard Science AI would allow missions to make decisions for future action onboard using real-time data, enabling adaptable and responsive exploration and discovery.
Detailed example
classification, prediction, confidence in prediction, anomalies
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Intelligent and interoperable extensible architectures for space developed and deployed under ASTRA are poised to become a “get with it or get out” technology, similar to the protocols for the internet, bluetooth, etc. We utilize two key capabilities developed by the ASTRA team in FY25: 1) Intelligent Extensible Mission Architectures (IEMA) and 2) Objective-Based Artificial Intelligence (OBAI). IEMA code includes the ability to broadcast capabilities and requests, and to join in a coordinated effort with assets that were previously unknown. OBAI code includes the ability to use established observational priorities to analyze data in real-time, make recommendations and decisions for future action based on the perceived importance of observation(s), and carry out actions in a new, coordinated multi-asset effort.
Controls / human review
ATO: Not reported; PIA: Not published