The authors outline a framework for converting human safety rules and preferences into formal logic constraints for vision-language model assisted robot navigation.
Learning from Failures: Translation of Natural Language Requirements into Linear Temporal Logic with Large Language Models,
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From Language to Logic: A Theoretical Architecture for VLM-Grounded Safe Navigation
The authors outline a framework for converting human safety rules and preferences into formal logic constraints for vision-language model assisted robot navigation.