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Alvaro Velasquez

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#artificial intelligence Preprint Aug 2026

CEDAR: Automata as Verifiable Interfaces for Language-Guided Embodied Action

CEDAR is presented, a counterexample-guided framework that grounds instructions as regular languages over environment event traces and represents both skills and specifications as deterministic finite automata, suggesting that regular languages offer a practical verification layer between natural-language instructions and embodied-agent policies.

Le Chen, Alvaro Velasquez, Ashutosh Trivedi · 0 citations

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