XOSS Aware: Human-Autonomy Integration for Real-Time Anomaly Response in Digital Twin Smart Habitats

Buendea, in partnership with Harvard University, proposes XOSS Aware, an AI-powered anomaly response and decision support system integrated into Buendea’s existing XR Operations Support System (XOSS). Designed for future lunar and Mars habitats, XOSS Aware models key habitat systems and subsystems such as power, thermal, and ECLSS and combines them with real-time fault detection, diagnosis, and resolution by combining digital twin modeling, explainable AI, and real-time human cognitive workload and performance assessment in immersive XR. The system supports crew autonomy in deep space missions where real-time ground support is limited or unavailable. Funding will support the development of a modular anomaly engine simulating faults across interdependent habitat subsystems (e.g., power, thermal, ECLSS), an AI assistant that recommends corrective actions with transparent reasoning, and biometric-driven cognitive modeling to adapt AI behavior based on user stress and workload. The solution adheres to NASA’s STMD 3001 standards and builds on previous XOSS deployments in analog missions like CHAPEA and HERA as well as studies forming part of Earth Independent Human Operations (EIHO). Target markets include NASA and commercial space operators including SpaceX, Axiom, Blue Origin for astronaut training, mission assurance, and autonomous system verification. By advancing human-autonomy teaming in smart habitats, this technology aims to enhance resilience, safety, and operational efficiency for long-duration spaceflight and beyond.