The transformative potential of MR is highlighted at all stages of the space operations timeline, including pre-launch and launch planning, in-mission execution, and astronaut training, by improving space operations through greater safety, efficiency, and collaboration.
Abstract
This paper presents a comprehensive review of how Mixed Reality (MR) systems can enhance space mission operations by combining real-time telemetry data, Computer-Aided Design (CAD)-based Three-Dimensional (3D) modeling, and Artificial Intelligence (AI).These technologies offer immersive platforms for decision-making, anomaly detection, and predictive analysis of space missions for example, through Long Short-Term Memory (LSTM) networks for time-series predictive maintenance. MR platforms provide immersive and interactive environments that enhances situational awareness, anomaly detection, and decision-making across different phases of space missions. MR hardware, such as Microsoft HoloLens and Varjo XR-4, enables astronauts and ground crews to collaborate with virtual spacecraft models superimposed with telemetry data, enabling real-time troubleshooting and collaborative decision-making. The review paper further investigates Artificial Intelligence and Machine Learning (AI/ML) integration in context-aware guidance, highlighting the importance of edge-cloud architectures formalized as two-tier Decision Support System (DSS) for achieving low latency constraints, system integration complexity, and secure collaboration. The review also examines the use of virtual modeling software to create detailed 3D spacecraft models for simulation and mission planning, thereby improving operational precision and risk assessment. Challenges and existing limitations are discussed along with proposed solutions. Finally, the paper highlights emerging trends in MR hardware and AI innovation, outlining their potential as promising developments that could enable new functionalities in future missions, by improving space operations through greater safety, efficiency, and collaboration. The transformative potential of MR is highlighted throughout this review at all stages of the space operations timeline, including pre-launch and launch planning, in-mission execution, and astronaut training.
This work presents the current development progress on a virtual model of the Columbus Science Laboratory onboard the International Space Station, specifically focusing on the Environmental Control and Life Support System as well as the Thermal Control System.
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Advancing atmospheric science increasingly depends on how effectively we design, execute, and adapt observational experiments. While major progress has been made in numerical modeling and artificial intelligence (AI), observational experimentation has not kept pace. Most observing systems—including radars—still opera...
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