Robustness in Probabilistic Temporal Planning

Abstract

Flexibility in agent scheduling increases the resilience of temporal plans in the face of new constraints. However, current metrics of flexibility ignore domain knowledge about how such constraints might arise in practice, e.g., due to the uncertain duration of a robot’s transition time from one location to another. Probabilistic temporal planning accounts… (More)

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