Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
ARMOR achieves state-of-the-art performance by improving over the previous approaches by improving over the previous approaches by up to 30% on failure detection rate and up to 100% in reasoning measured through LLM fuzzy match score, demonstrating robustness to heterogeneous supervision and open-ended reasoning beyond...