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RICH-SLAM transforms sparse radar data into continuous, uncertainty-aware maps, enabling robust navigation for mobile robots in challenging environments.
Current image quality metrics struggle to articulate *why* one high-quality image is better than another, but this challenge shows MLLMs are closing the gap by providing expert-level explanations.
