grant
CAREER: Introspective Reasoning with Imprecise Models for Reliable Autonomy
Organization Oregon State UniversityLocation CORVALLIS, United StatesPosted 1 Sept 2026Deadline 31 Aug 2031
NSFUS FederalResearch GrantScience FoundationOR
Description preview
The real world is too complex to model accurately. Autonomous agents and robots that perform complex tasks in the real world, ranging from handling inventory in warehouses to driving, will inevitably encounter scenarios that are not fully described in their symbolic models used for decision-making. To handle such unexpected scenarios, agents often…
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