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A discrepancy-invariant recalibration module is proposed, which explicitly utilizes invariant features between different time phases to calibrate the difference features and enhance the ability to suppress false changes.
EVA-Bench is presented, a benchmark designed to evaluate foundation model capabilities for exploration EVA (xEVA) support under operationally grounded and safety-relevant conditions and helps identify which models are most suitable for later integration into EVA decision-support systems.
The results demonstrate the feasibility of transforming centralized ground support into a resilient, autonomous partner capable of safeguarding crew during high-latency planetary exploration.
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