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Vladyslava Rudas

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Preprint Aug 2026

Can Vision-Language Models Assess Proxemic Risk from Egocentric Robot Images?

This work evaluates three opensource vision-language models on the classification of egocentric robot images into four danger levels, comparing three prompting strategies and two rounds of QLoRA fine-tuning against a stratified random baseline.

Vladyslava Rudas, Dmytro Kuzmenko · 0 citations

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