AIBullisharXiv – CS AI · Apr 106/10
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KITE: Keyframe-Indexed Tokenized Evidence for VLM-Based Robot Failure Analysis
KITE is a training-free system that converts long robot execution videos into compact, interpretable tokens for vision-language models to analyze robot failures. The approach combines keyframe extraction, open-vocabulary detection, and bird's-eye-view spatial representations to enable failure detection, identification, localization, and correction without requiring model fine-tuning.