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AI for Resilient Autonomous Operations and Scientific Discovery in Extreme and Unpredictable Environments

AI for Resilient Autonomous Operations and Scientific Discovery in Extreme and Unpredictable Environments Introduction: Defining Extreme Environments and the Critical Role of AI-Driven Autonomous Systems. Extreme environments represent a class of settings that impose significant operational and technological challenges due to conditions far exceeding the normal parameters for human comfort and conventional technology. These environments are inherently resource-constrained , characterized by limitations in energy availability, computational power, communication bandwidth, and essential consumables. They are also fundamentally dynamic , exhibiting rapid and often unpredictable shifts in environmental conditions. Furthermore, these locations are often largely unknown , with sparse or incomplete prior data and understanding. Examples of such environments are diverse and include deep space missions navigating vacuum, radiation, and immense distances; sub-oceanic exploration contending with ...