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Achieving a 95% obstacle avoidance rate while reducing slope challenges from 8掳 to 2.7掳 reveals a breakthrough in UGV navigation under dynamic conditions.
Time-aware validation reveals that traditional model evaluation methods can significantly misrepresent the performance of fuel consumption predictions, leading to misguided operational decisions.
Regime-aware modeling with MGSB boosts leak detection performance by over 20% in out-of-distribution scenarios compared to traditional methods.