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MIGU, a modular framework that combines semantic and geometric evidence into a unified grounding belief and connects it to manipulation planning and outperforms all evaluated baselines, while ablations support the benefit of explicit multimodal uncertainty modeling.
Robots can now autonomously expand their knowledge and adapt to unexpected tasks in real-world environments, revolutionizing service robotics.