Deep-space Anomaly Solution for Habitat Assistance and Resolution Aid (DASHARA)

Future deep space smart habitats will need to balance human and autonomous system intervention during anomalies, with onboard autonomous systems collecting sensor data, diagnosing faults, predicting maintenance needs, and recommending resolutions. To support anomaly response, smart habitats must integrate data from multiple sensors, analyze large datasets onboard, and provide astronauts with decision-support tools that enhance situational awareness and predict potential upcoming failures. In response to this need, Paragon and ASU propose to develop an AI framework called Deep-space Anomaly Solution for Habitat Assistance and Resolution Aid (DASHARA). In Phase I, the DASHARA framework will be designed and applied to a relevant space habitat system to focus the project's scope while enabling in-depth development and virtual and physical demonstration. DASHARA will be applied to a “smart” CO2 removal system. The project will build upon proven methodologies in intelligent decision-making, environmental adaptation, and predictive analytics, and apply them to the vacuum swingbed CO₂ removal hardware Paragon has developed for space exploration and deep-space habitation. Paragon’s hardware and ASU’s AI will be combined for virtual and experimental testing. The project will virtually simulate human-in-the-loop and autonomous space habitat operations and utilize development hardware to conduct physical lab experiments, ensuring a validated, scalable, and mission-ready prototype for future lunar and Martian exploration. Paragon and ASU will target customers developing commercial space stations and permanent lunar habitats. This currently includes the Starlab space station, Blue Origin and Sierra Space’s Orbital Reef, and Lockheed Martin’s lunar habitat.