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Achieving 89.4% success in single-view embodied visual tracking, ReferTrack outperforms multi-camera systems by grounding tracking decisions in real-time visual data.
Training robots in a photorealistic Gaussian Splatting simulator transfers surprisingly well to the real world, boosting scene understanding and navigation performance.
