Robust-R1 is a multi-modal LLM research project that focuses on making vision-language models robust against image degradation (blur, noise, low resolution). The work trains VLMs with degradation-aware reasoning capabilities, releasing both the trained models on HuggingFace and a corresponding dataset. The goal is to improve visual understanding reliability in challenging real-world conditions.